ECS Bare Metal Instances are ideal for deploying traditional, non-virtualized applications to the cloud. They seamlessly integrate with other Alibaba Cloud services, such as storage, networking, and databases, enabling you to build versatile business solutions. This topic describes the advantages and features of ECS Bare Metal Instance families and lists the specific instance types.
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View instance availability by region: Instance types may vary by region. We recommend that you check the purchase availability in each region.
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View instance type selection guide: First, determine which instance families are suitable for your business scenario. Then, use this topic to select a specific instance type.
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View instance metric descriptions: Read this topic to understand the metrics for instance types.
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Use the ECS Price Calculator: You can use the price calculator to estimate instance fees.
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Recommended instance families:
General purpose (ebmg)
Compute optimized (ebmc)
Memory optimized (ebmr)
High-frequency (ebmhf)
GPU-accelerated (ebmgn)
ECS bare metal instance
ECS Bare Metal Instance is a compute product built on Alibaba Cloud's proprietary, next-generation virtualization technology. It combines the elasticity of instances with the performance and features of physical machines. This next-generation technology preserves the elastic experience of standard ECS instances while delivering the performance of a physical machine. It also fully supports nested virtualization technology.
Nested virtualization is enabled by default on ECS Bare Metal Instances.
ECS Bare Metal Instance combines the benefits of physical machines and instances to provide powerful and stable compute performance. Using Alibaba Cloud's proprietary Virtualization 2.0 technology, your applications can access the instance's processor and memory directly with no virtualization overhead. These instances provide the full processor features of a physical machine (such as Intel VT-x) and the resource isolation benefits of dedicated hardware, making them ideal for migrating traditional, non-virtualized applications to the cloud.
ECS Bare Metal Instance is built on proprietary chips, a self-developed hypervisor, and a redefined server hardware architecture that integrates the features of physical machines and instances. It integrates seamlessly with other Alibaba Cloud products, such as storage, networking, and databases. It is also fully compatible with the standard ECS image system, which provides the flexibility to architect solutions for various business scenarios.
When you use ECS Bare Metal Instances, note the following:
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You cannot change instance specifications.
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If an ECS Bare Metal Instance experiences a hardware failure, it supports failover, and your data is preserved on Cloud Disks.
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Basic CPU metrics for EBM instances are not available in CloudMonitor by default. To collect CPU metrics, you must install the CloudMonitor agent. For instructions, see Install the CloudMonitor agent.
Benefits
Elastic Bare Metal Server offers the following benefits:
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Dedicated compute resources
Elastic Bare Metal Server provides the performance and isolation of a physical machine. You get dedicated compute resources with no virtualization performance overhead or feature loss. You can choose from various instance specifications, including 80-core, 96-core, 104-core, 128-core, and 192-core instances.
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Confidential computing
In addition to physical isolation, Elastic Bare Metal Server enhances data security with a chip-level trusted execution environment (Intel® SGX). This ensures that your encrypted data is processed only within a secure and trusted environment. This chip-level hardware security acts as a vault for your cloud data and gives you full control over the entire data encryption and key management lifecycle. For more information, see Install SGX.
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Compatibility with private clouds
Elastic Bare Metal Server addresses demanding high-performance computing requirements and helps you build modern hybrid clouds. It combines the elasticity of a virtual machine with the performance and features of a physical machine, including full support for nested virtualization. This allows you to seamlessly migrate on-premises private clouds to Alibaba Cloud without the performance overhead of nested virtualization.
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Support for heterogeneous instruction set architectures
Built on Virtualization 2.0, a proprietary Alibaba Cloud technology, Elastic Bare Metal Server supports processors with different instruction sets, such as ARM.
Feature comparison
Elastic Bare Metal Servers significantly outperform physical machines with the same configurations. During the Double 11 shopping festival, they provided millions of vCPUs to handle peak traffic loads.
The following table compares Elastic Bare Metal Servers with physical machines and virtual machines. In the table, Y indicates that a feature is supported, N indicates that it is not supported, and N/A indicates that data is unavailable.
|
Feature category |
Feature |
Elastic Bare Metal Server |
Physical machine |
Virtual machine |
|
Operations automation |
Minute-level provisioning |
Y |
N |
Y |
|
Compute |
No performance overhead |
Y |
Y |
N |
|
No feature loss |
Y |
Y |
N |
|
|
No resource contention |
Y |
Y |
N |
|
|
Storage |
Fully compatible with ECS cloud disks |
Y |
N |
Y |
|
Boot from a cloud disk (system disk) |
Y |
N |
Y |
|
|
Fast system disk reset |
Y |
N |
Y |
|
|
Support for ECS images |
Y |
N |
Y |
|
|
Cold migration between physical machines and virtual machines |
Y |
N |
Y |
|
|
No operating system installation required |
Y |
N |
Y |
|
|
No local RAID required, offering enhanced data protection via cloud disks |
Y |
N |
Y |
|
|
Network |
Fully compatible with VPCs |
Y |
N |
Y |
|
Seamless communication between physical machine and virtual machine clusters within a VPC |
Y |
N |
Y |
|
|
Management |
Fully compatible with the existing ECS management system |
Y |
N |
Y |
|
Consistent user experience with virtual machines, including VNC |
Y |
N |
Y |
|
|
Out-of-band network security |
Y |
N |
N/A |
General-purpose Elastic Bare Metal Server instance family ebmg9ae
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Instance family overview: Built on the new Alibaba Cloud CIPU architecture and powered by the latest AMD EPYC™ Turin processors, this instance family delivers stable compute performance, a powerful I/O engine, and chip-level security hardening.
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Use cases:
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Workloads that require direct access to physical resources or hardware-bound licensing.
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Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
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Containers, such as Docker, Clear Containers, and Pouch.
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High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
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Enterprise applications of all types and sizes.
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Web and application servers.
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Game servers.
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Small to medium-sized database systems, caches, and search clusters.
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Data analytics and computing.
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High-performance scientific and engineering applications.
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Compute:
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vCPU-to-memory ratio of 1:4.
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Processor: AMD EPYC™ Turin processor with a max turbo frequency of 3.7 GHz. Its physical core design ensures stable compute performance.
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Storage:
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Adjustable baseline storage bandwidth.
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I/O-optimized instances.
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These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
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Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD Zone-Redundant cloud disks. For more information about cloud disks, see Block storage overview.
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Network:
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Adjustable baseline network bandwidth.
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These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
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Supports Elastic RDMA Interface (ERI). To use ERI, see Enable eRDMA on enterprise-level instances.
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These instances support jumbo frames. For more information, see Jumbo frames.
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This table lists the specifications for the ebmg9ae instance family.
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Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Baseline IOPS |
Disk bandwidth (Gbit/s) |
|
ecs.ebmg9ae.48xlarge |
192 |
768 |
100/None |
30,000,000 |
6,000,000 |
64 |
38 |
50 |
50 |
600,000 |
50/None |
General-purpose ECS Bare Metal Instance family ebmg9a
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Instance family overview: These instances are built on Alibaba Cloud's new CIPU architecture and powered by the latest AMD EPYC™ Turin processors. They deliver consistent compute performance, a powerful I/O engine, and chip-level security enhancements.
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Use cases:
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Workloads that require direct access to physical resources or hardware-bound licenses.
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Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
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Containers, such as Docker, Clear Container, and Pouch.
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High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
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Enterprise applications of all types and sizes.
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Website and application servers.
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Game servers.
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Small to medium-sized database systems, caches, and search clusters.
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Data analytics and computing.
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High-performance scientific and engineering applications.
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Compute:
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vCPU-to-memory ratio of 1:4.
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Processor: AMD EPYC™ Turin with a max turbo frequency of up to 4.1 GHz, delivering stable compute performance.
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Storage:
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I/O-optimized instance.
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These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
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Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD zone-redundant cloud disks. For more information, see Block storage overview.
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Network:
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These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
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Supports Elastic RDMA Interface (ERI). To use ERI, see Enable eRDMA on enterprise-level instances.
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These instances support jumbo frames. For more information, see Jumbo frames.
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The following table lists the instance types and specifications for the ebmg9a instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Cloud disk IOPS |
Cloud disk bandwidth (Gbit/s) |
|
ecs.ebmg9a.64xlarge |
256 |
1152 |
100/None |
30,000,000 |
6,000,000 |
64 |
38 |
50 |
50 |
500,000 |
64/None |
General-purpose elastic bare metal server family ebmg9i
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Instance family introduction: Built on Alibaba Cloud's new CIPU architecture and powered by Intel® Xeon® 6 processors with P-cores, these instances provide stable computing power, a more powerful I/O engine, and chip-level security hardening.
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Use cases:
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Workloads that require direct access to physical resources or hardware-bound licenses.
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Compatible with third-party hypervisors for hybrid cloud and multi-cloud deployment.
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Containers, such as Docker, Clear Container, and Pouch.
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High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
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Enterprise applications of all types and sizes.
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Web and application servers.
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Game servers.
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Small to medium-sized database systems, caches, and search clusters.
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Data analytics and computation.
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High-performance scientific and engineering applications.
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Compute:
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vCPU-to-memory ratio of 1:4.
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Processor: Intel® Xeon® Granite Rapids with a base frequency of 3.2 GHz and an all-core turbo frequency of 3.6 GHz.
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Storage:
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These are I/O optimized instances.
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These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
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Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD Zone-Redundant cloud disks. For details, see Block storage overview.
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Network:
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These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
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These instances support eRDMA. For information about how to use eRDMA, see Enable on enterprise-level instance.
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These instances support jumbo frames. For more information, see Jumbo frames.
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The following table lists the instance types and specifications for the ebmg9i instance type family.
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Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Packet rate (PPS) |
Connections |
Multi-queue |
ENIs |
Private IPv4s (per ENI) |
IPv6s (per ENI) |
Cloud disk IOPS |
Disk bandwidth (Gbit/s) |
|
ecs.ebmg9i.48xlarge |
192 |
768 |
64/None |
20,000,000 |
6,000,000 |
64 (primary network interface)/16 (secondary network interface) |
32 |
50 |
50 |
500,000/800,000 |
32/None |
General-purpose ebmg8a instance family
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Introduction: These instances are built on the new Alibaba Cloud CIPU architecture and powered by AMD EPYC™ Genoa processors. They offer stable compute performance, a more powerful I/O engine, and chip-level security hardening.
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Use cases:
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Workloads that require direct access to physical resources or hardware-bound licenses.
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Workloads that support third-party hypervisors and require hybrid cloud and multi-cloud deployment.
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Containers, such as Docker, Clear Container, and Pouch.
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High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
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Enterprise applications of all types and sizes.
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Web and application servers.
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Game servers.
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Small to medium-sized database systems, caches, and search clusters.
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Data analytics and computing.
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High-performance scientific and engineering applications.
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Compute:
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vCPU-to-memory ratio of 1:4.
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Processor: AMD EPYC™ Genoa processors with a turbo frequency up to 3.7 GHz, which deliver stable compute performance.
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Storage:
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I/O-optimized instance.
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Supports the NVMe protocol. For more information, see NVMe protocol overview.
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These instances support ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD Zone-Redundant cloud disks. For more information, see Block storage overview.
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Network:
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Supports IPv4 and IPv6. For details on IPv6 communication, see IPv6 communication.
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Supports Elastic RDMA Interface (ERI). To use ERI, see Enable eRDMA on enterprise-level instances.
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The following table lists the instance types and specifications for the ebmg8a instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth |
Network PPS |
Connections |
Multi-queue |
Elastic network interfaces |
Private IPv4 addresses |
IPv6 addresses |
Cloud disk IOPS |
Cloud disk bandwidth |
|
ecs.ebmg8a.48xlarge |
192 |
768 |
64/None |
18,000,000 |
3,000,000 |
64 |
38 |
30 |
30 |
500,000/None |
32/None |
ECS Bare Metal Instance family ebmg8y
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Introduction: These instances are built on the new Alibaba Cloud CIPU architecture. They provide stable computing power, a powerful I/O engine, dedicated hardware resources, and physical isolation.
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Use cases:
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Workloads that require direct access to physical resources or hardware-bound licenses.
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Third-party hypervisors for hybrid cloud and multi-cloud deployments.
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Containers (including but not limited to Docker, Clear Container, and Pouch).
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Video on demand and live streaming.
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Enterprise applications of all types and sizes.
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Web and application servers.
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Data analytics and computing.
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High-performance scientific and engineering applications.
-
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Compute:
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Processor: Features Alibaba Cloud's proprietary Yitian 710 ARM processors with a base frequency of at least 2.75 GHz. Hyper-threading is not supported, ensuring stable computing performance.
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Storage:
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These are I/O optimized instances.
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These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
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Supports ESSDs, ESSD AutoPL cloud disks, and ESSD Zone-redundant cloud disks. For more information about cloud disks, see Block storage overview.
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Network:
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These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
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These instances support eRDMA. For information about how to use eRDMA, see Enable on enterprise-level instance.
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These instances support jumbo frames. For more information, see Jumbo frames.
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This table lists the instance types and specifications of the ebmg8y instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Queues |
ENIs |
Private IPv4s/ENI |
IPv6 addresses/ENI |
Disk IOPS |
Disk bandwidth (Gbit/s) |
|
ecs.ebmg8y.32xlarge |
128 |
512 |
64/None |
20,000,000 |
3,000,000 |
64 (primary ENI)/32 (secondary ENI) |
38 |
30 |
30 |
500,000/None |
32/None |
General-purpose elastic bare metal instance family ebmg8i
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Description: Built on Alibaba Cloud's new CIPU architecture, this instance family delivers stable computing power, an enhanced I/O engine, dedicated hardware resources, and physical isolation.
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Scenarios:
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Workloads that require direct access to physical resources or hardware-bound licenses.
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Compatibility with third-party hypervisors for hybrid and multi-cloud deployments.
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Containers, such as Docker, Clear Containers, and Pouch.
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High packet-rate networking scenarios, such as live comment streaming and telecommunication service forwarding.
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Enterprise-level applications of various types and sizes.
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Websites and application servers.
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Game servers.
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Small and medium-sized database systems, caches, and search clusters.
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Data analytics and computing.
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High-performance scientific and engineering applications.
-
-
Compute:
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Processor: Features Intel® Xeon® Emerald Rapids or Intel® Xeon® Sapphire Rapids processors with a base frequency of at least 2.7 GHz and an all-core turbo frequency of 3.2 GHz.
NoteWhen you purchase an instance, one of the two processor types is randomly assigned. You cannot manually select a processor type.
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These instances support hyper-threading. Hyper-threading is enabled by default. For more information, see Change CPU options.
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For information about operating system compatibility, see Intel instance and OS compatibility.
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Storage:
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These are I/O optimized instances.
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These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
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Supports ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD Zone-redundant cloud disks. For more information about cloud disks, see Block Storage Overview.
-
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Network:
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These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
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These instances support eRDMA. For information about how to use eRDMA, see Enable on enterprise-level instance.
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These instances support jumbo frames. For more information, see Jumbo frames.
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The following table lists the instance types and specifications for the ebmg8i instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
ENIs |
Private IPv4s per ENI |
IPv6 addresses per ENI |
Cloud disk IOPS |
Cloud disk throughput (Gbit/s) |
|
ecs.ebmg8i.48xlarge |
192 |
1024 |
100/None |
30,000,000 |
4,000,000 |
64 (primary ENI)/16 (secondary ENI) |
72 |
30 |
30 |
1,000,000/None |
48/None |
Storage-enhanced elastic bare metal instance family ebmg7se
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Instance family description:
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Built on the third-generation X-Dragon architecture, these instances use chip-level acceleration and fast-path technology to achieve stable, predictable, and exceptionally high compute, storage, and network performance.
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They provide dedicated hardware resources and physical isolation.
-
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Use cases:
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Workloads that require direct access to physical resources or hardware-bound licensing.
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High-availability workloads that require the multi-attach feature for cloud disks.
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I/O-intensive workloads such as medium-to-large OLTP core databases and medium-to-large NoSQL databases.
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Search and real-time log analytics.
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Compute:
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vCPU-to-memory ratio of 1:4.
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Processor: Intel® Xeon® Platinum 8369B (Ice Lake) with a 2.9 GHz base frequency and a 3.5 GHz all-core turbo frequency.
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Storage:
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These are I/O optimized instances.
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These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
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Supported disk types: elastic ephemeral disk, ESSDs, ESSD AutoPL disks, and Regional ESSDs. For more information, see Block Storage Overview.
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They deliver sequential read and write throughput of up to 64 Gbit/s and up to 1 million IOPS per instance.
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Network:
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These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
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They provide exceptional network performance, with packet forwarding rates of up to 12 million PPS.
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The following table lists the instance types and specifications in the ebmg7se instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
Private IPv4 per ENI |
IPv6 per ENI |
Max data disks |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmg7se.32xlarge |
128 |
512 |
32 |
12,000,000 |
2,400,000 |
16 |
30 |
1 |
32 |
1,000,000 |
64 |
General-purpose Elastic Bare Metal Server instance family ebmg7
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Instance family overview:
-
Built on the third-generation X-Dragon architecture, these instances use chip-level acceleration and fast-path technology to deliver stable, predictable, and exceptionally high compute, storage, and network performance.
-
These instances provide dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses
-
Compatibility with third-party hypervisors for hybrid and multi-cloud deployments
-
Containers, such as Docker, Clear Container, and Pouch
-
High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding
-
Enterprise applications of all types and sizes
-
Website and application servers
-
Game servers
-
Small to medium-sized database systems, caches, and search clusters
-
Data analytics and computing
-
High-performance scientific and engineering applications
-
-
Compute:
-
vCPU-to-memory ratio of 1:4
-
Processor: Intel® Xeon® Platinum 8369B (Ice Lake) processor with a base frequency of 2.9 GHz and an all-core turbo frequency of 3.5 GHz
-
-
Storage:
-
These are I/O optimized instances.
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Supported cloud disk types: ESSD cloud disks, ESSD AutoPL disks, and ESSD Zonal Redundancy disks. For more information, see block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances support jumbo frames. For more information, see Jumbo frames.
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Delivers ultra-high network performance of up to 24 million PPS (packets per second).
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The following table lists the instance types and specifications for the ebmg7 instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Disk IOPS |
Disk bandwidth (Gbit/s) |
|
ecs.ebmg7.32xlarge |
128 |
512 |
64 |
24,000,000 |
2,400,000 |
32 |
20 |
20 |
600,000 |
32 |
General-purpose ECS bare metal instance family ebmg7a
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Introduction
-
Built on the third-generation X-Dragon architecture, these instances leverage chip-level acceleration and fast-path technology to provide stable, predictable, and high compute, storage, and network performance.
-
These instances provide dedicated hardware resources and physical isolation.
-
-
Use cases
-
Workloads that require direct access to physical resources or have hardware-based licensing requirements.
-
Compatible with third-party hypervisors for hybrid cloud and multi-cloud deployment.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Compute clusters and memory-intensive data processing.
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Video encoding/decoding and rendering.
-
Data analytics and computing.
-
-
Compute
-
vCPU-to-memory ratio of 1:4.
-
These instances use AMD EPYC™ MILAN processors that feature a 2.55 GHz base frequency and a single-core turbo frequency of up to 3.5 GHz to ensure stable computing performance.
-
-
Storage
-
These are I/O optimized instances.
-
Supported Cloud Disk types: ESSDs, ESSD AutoPL disks, and ESSD Zone-Redundant disks. For more information about Cloud Disks, see Block Storage Overview.
-
-
Network
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances deliver network performance of up to 24 million PPS.
-
The following table lists the instance types and specifications for the ebmg7a instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
ENIs |
Private IPv4s per ENI |
IPv6s per ENI |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmg7a.64xlarge |
256 |
1024 |
64 |
24 million |
4 million |
32 |
31 |
15 |
1 |
600,000 |
32 |
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ECS instances of this instance type require an image that supports the UEFI boot mode. If you use a custom image, ensure its boot mode is set to UEFI. For instructions on how to set the boot mode for a custom image, see Instance Boot Mode.
-
Do not use Ubuntu 18 or Debian 9 images to create instances of this instance type. The kernels of these operating systems do not support AMD EPYCTM MILAN processors, and the instances will fail to start.
General-purpose ECS bare metal instance family ebmg6a
This instance family is in invitational preview. To use it, submit a ticket.
-
Overview:
-
Built on the third-generation X-Dragon architecture, these instances use chip-level acceleration and fast-path technology to deliver stable, predictable, and ultra-high compute, storage, and network performance.
-
These instances provide dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Containers, and Pouch.
-
Video encoding, decoding, and rendering.
-
Compute clusters and memory-intensive data processing.
-
Data analytics and compute.
-
-
Compute:
-
The vCPU-to-memory ratio is 1:4.
-
Processor: AMD EPYC™ ROME processors with a 2.6 GHz base frequency and a 3.3 GHz turbo frequency, delivering consistent compute performance.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, ESSD Zone-Redundant cloud disks, SSD cloud disks, and Ultra Disks. For more information about block storage, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances deliver ultra-high network performance of up to 24 million PPS.
-
The following table lists the instance types and specifications for the ebmg6a instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Queues |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Cloud disk IOPS |
Cloud disk bandwidth (Gbit/s) |
|
ecs.ebmg6a.64xlarge |
256 |
1024 |
64 |
24,000,000 |
32 |
31 |
10 |
1 |
600,000 |
32 |
ECS instances of this instance family must be created from images that use the UEFI boot mode. If you use a custom image, ensure that it is configured to use UEFI. For instructions, see instance boot mode.
Ebmg6e: General-purpose (balanced-enhanced) elastic bare metal instance family
The ebmg6e instance family provides the following features:
-
Instance family overview:
-
Built on the third-generation X-Dragon architecture, these instances use chip-level acceleration and fast-path technology to deliver stable, predictable, and exceptionally high compute, storage, and network performance.
-
These instances provide dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or have hardware-based licensing requirements.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High network packet rate scenarios, such as live comment streaming and telecom service forwarding.
-
Enterprise applications of all types and sizes.
-
Web and application servers.
-
Game servers.
-
Small to medium-sized database systems, caches, and search clusters.
-
Data analytics and computing.
-
Compute clusters and memory-intensive data processing.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of approximately 1:4.
-
Processor: Intel® Xeon® Platinum 8269CY (Cascade Lake) with a base frequency of 2.5 GHz and an all-core turbo frequency of 3.2 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disk, ESSD AutoPL cloud disk, and ESSD zone-redundant cloud disk. For more information, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Network performance of up to 24 million PPS.
-
The following table lists the instance types and specifications for the ebmg6e instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
Private IPv4s per ENI |
IPv6s per ENI |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmg6e.26xlarge |
104 |
384 |
32 |
24,000,000 |
1,800,000 |
32 |
10 |
1 |
480,000 |
16 |
ebmg6 general-purpose bare metal instance family
The ebmg6 instance family offers the following features:
-
Instance family description: Offers dedicated hardware resources and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Video encoding, decoding, and rendering.
-
Resource-intensive database applications for medium-to-large enterprises.
-
Compute clusters and memory-intensive data processing.
-
Data analytics.
-
-
Compute:
-
vCPU-to-memory ratio of approximately 1:4.
-
Processor: Intel® Xeon® Platinum 8269CY (Cascade Lake) with a base frequency of 2.5 GHz and an all-core turbo frequency of 3.2 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, ESSD Zone-Redundant cloud disks, SSD cloud disks, and ultra disks. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
High network performance with up to 6 million PPS.
-
This table lists the instance types and specifications for the ebmg6 instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
Private IPv4 addresses per ENI |
IPv6 addresses per ENI |
Baseline cloud disk IOPS |
Baseline cloud disk bandwidth (Gbit/s) |
|
ecs.ebmg6.26xlarge |
104 |
384 |
32 |
6,000,000 |
1,800,000 |
32 |
20 |
1 |
200,000 |
16 |
By default, CloudMonitor does not provide basic CPU metrics for EBM instances. To collect them, you must install the CloudMonitor agent. For instructions, see Install the CloudMonitor agent.
Compute-optimized elastic bare metal instance family ebmc9ae
-
Instance family overview: Built on Alibaba Cloud's new CIPU architecture and powered by the latest AMD EPYC™ Turin processors, this instance family provides stable compute performance, a powerful I/O engine, and chip-level security hardening.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
-
Web front-end servers.
-
Massively multiplayer online (MMO) game front ends.
-
Data analytics, batch computing, and video encoding.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of 1:2.
-
Processor: AMD EPYC™ Turin processors with a maximum turbo frequency of 3.7 GHz. These instances use physical cores to deliver stable compute performance.
-
-
Storage:
-
Supports adjustable baseline cloud disk bandwidth.
-
I/O-optimized instance.
-
These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
-
Supported cloud disk types: ESSD Cloud Disks, ESSD AutoPL Cloud Disks, and ESSD Zone-Redundant Cloud Disks. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
Supports adjustable baseline network bandwidth.
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Supports Elastic RDMA Interface (ERI). To use ERI, see Enable eRDMA on enterprise-level instances.
-
These instances support jumbo frames. For more information, see Jumbo frames.
-
The following table lists the instance types and specifications of the ebmc9ae instance family:
|
Instance type |
vCPU |
Memory (GiB) |
Baseline/burst network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
ENIs |
Private IPv4 addresses per ENI |
IPv6 addresses per ENI |
Baseline cloud disk IOPS |
Baseline/burst cloud disk bandwidth (Gbit/s) |
|
ecs.ebmc9ae.48xlarge |
192 |
384 |
100/None |
30,000,000 |
6,000,000 |
64 |
38 |
50 |
50 |
600,000 |
50/None |
Compute-optimized ebmc9i instance family
-
Introduction: Built on Alibaba Cloud's new CIPU architecture and powered by Intel® Xeon® 6 processors with P-cores, these instances deliver stable compute performance, a powerful I/O engine, and chip-level security hardening.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Third-party hypervisor compatibility for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
-
Web front-end servers.
-
Massively multiplayer online (MMO) game front ends.
-
Data analytics, batch computing, and video encoding.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of 1:2.
-
Processor: Powered by Intel® Xeon® Granite Rapids processors with a base frequency of 3.2 GHz and an all-core turbo frequency of 3.6 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
-
Supports ESSD and ESSD AutoPL cloud disks. For more information about cloud disks, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances support eRDMA. For information about how to use eRDMA, see Enable on enterprise-level instance.
-
These instances support jumbo frames. For more information, see Jumbo frames.
-
The following table lists the instance types and specifications for the ebmc9i instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
ENIs |
Private IPv4s/ENI |
IPv6s/ENI |
Disk IOPS |
Disk bandwidth (Gbit/s) |
|
ecs.ebmc9i.48xlarge |
192 |
384 |
64/None |
20,000,000 |
6,000,000 |
64 (primary network interface)/16 (secondary network interface) |
32 |
50 |
50 |
500,000/800,000 |
32/None |
General-purpose ebmc8a instance family
-
Instance family description: Built on the new Alibaba Cloud CIPU architecture and powered by AMD EPYC™ Genoa processors, this instance family delivers stable compute performance, a powerful I/O engine, and chip-level security hardening.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
-
Web front-end servers.
-
Massively multiplayer online (MMO) game front ends.
-
Data analytics, batch processing, and video encoding.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of 1:2.
-
Processor: AMD EPYC™ Genoa processors with a max boost frequency of up to 3.7 GHz, delivering stable compute performance.
-
-
Storage:
-
I/O optimized instances.
-
Supports the NVMe protocol. For more information, see NVMe Protocol Overview.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD Zone-redundant cloud disks. For more information about cloud disks, see Block Storage Overview.
-
-
Network:
-
Supports IPv4 and IPv6. For more information, see IPv6 communication.
-
Supports Elastic RDMA Interface (ERI). For instructions on using ERI, see Enable eRDMA on enterprise-level instances.
-
The ebmc8a instance family includes the following instance types:
|
Instance type |
vCPUs |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
ENIs |
Private IPv4s per ENI |
IPv6s per ENI |
Cloud disk IOPS |
Cloud disk bandwidth (Gbit/s) |
|
ecs.ebmc8a.48xlarge |
192 |
384 |
64/None |
18,000,000 |
3,000,000 |
64 |
38 |
30 |
30 |
500,000/None |
32/None |
Compute-optimized elastic bare metal instance family ebmc8y
-
Instance family introduction: Built on the new Alibaba Cloud CIPU architecture, these instances deliver stable computing power, a robust I/O engine, and dedicated hardware with physical isolation.
-
Scenarios:
-
Workloads that require direct access to physical resources or have hardware-bound licensing requirements.
-
Compatibility with third-party hypervisors for hybrid and multi-cloud deployments.
-
Containers, such as Docker, Clear Containers, and Pouch.
-
Video on demand and live streaming.
-
Enterprise applications of all types and sizes.
-
Web and application servers.
-
Data analytics and computing.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
These instances use Alibaba Cloud's proprietary Yitian 710 Arm architecture processors, which have a base frequency of at least 2.75 GHz. They do not use hyper-threading, ensuring stable computing performance.
-
-
Storage:
-
These are I/O optimized instances.
-
These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD Zone-redundant cloud disks. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances support eRDMA. For information about how to use eRDMA, see Enable on enterprise-level instance.
-
These instances support jumbo frames. For more information, see Jumbo frames.
-
The following table lists the instance types and specifications for the ebmc8y instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Queues |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Cloud disk IOPS |
Cloud disk bandwidth (Gbit/s) |
|
ecs.ebmc8y.32xlarge |
128 |
256 |
64/None |
20,000,000 |
3,000,000 |
64 (primary)/32 (secondary) |
38 |
30 |
30 |
500,000/None |
32/None |
Compute-optimized elastic bare metal server instance family ebmc8i
-
Instance family overview: These instances are built on the new Alibaba Cloud CIPU architecture. They provide stable computing power, a powerful I/O engine, dedicated hardware, and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or have hardware-bound licensing requirements.
-
Workloads that are compatible with third-party hypervisors and require hybrid cloud and multi-cloud deployment.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Workloads with high packet rates, such as live comment streaming and telecom service forwarding.
-
Web front-end servers.
-
Massively multiplayer online (MMO) game front ends.
-
Data analytics, batch computing, and video encoding.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
Processor: Powered by Intel® Xeon® Emerald Rapids or Intel® Xeon® Sapphire Rapids processors with a base frequency of at least 2.7 GHz and an all-core turbo frequency of 3.2 GHz.
NoteWhen you purchase an instance of this family, the system randomly assigns one of the preceding processors. You cannot manually select a processor.
-
These instances support hyper-threading. Hyper-threading is enabled by default. For more information, see Change CPU options.
-
For information about operating system compatibility, see Intel instance types and operating system compatibility.
-
-
Storage:
-
These are I/O optimized instances.
-
These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
-
Supported cloud disk types: ESSD Cloud Disk, ESSD AutoPL Cloud Disk, and ESSD Zone-redundant Cloud Disk. For details on block storage, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances support eRDMA. For information about how to use eRDMA, see Enable on enterprise-level instance.
-
These instances support jumbo frames. For more information, see Jumbo frames.
-
The following table lists the instance types and specifications for the ebmc8i instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Packet rate (PPS) |
Connections |
Multi-queue |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Cloud disk IOPS |
Cloud disk bandwidth (Gbit/s) |
|
ecs.ebmc8i.48xlarge |
192 |
512 |
100/None |
30,000,000 |
4,000,000 |
64 (primary) / 16 (secondary) |
72 |
30 |
30 |
1,000,000/None |
48/None |
Ebmc7 compute-optimized instance family
-
Introduction:
-
Built on the third-generation X-Dragon Architecture, these instances use chip-level acceleration and fast-path technology to provide stable, predictable, and ultra-high compute, storage, and network performance.
-
Dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or have hardware-based licensing requirements.
-
Hybrid cloud and multi-cloud deployments that use third-party hypervisors.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
-
Web front-end servers.
-
Massively multiplayer online (MMO) game front ends.
-
Data analytics, batch computing, and video encoding.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of 1:2.
-
Processor: Intel® Xeon® Platinum 8369B (Ice Lake) with a 2.9 GHz base frequency and 3.5 GHz all-core turbo frequency.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD, ESSD AutoPL, and ESSD Zone-redundant. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances support jumbo frames. For more information, see Jumbo frames.
-
Ultra-high network performance of up to 24 million network PPS.
-
The following table lists the specifications of the instance types in the ebmc7 instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
Elastic network interfaces |
Private IPv4 per ENI |
IPv6 per ENI |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmc7.32xlarge |
128 |
256 |
64 |
24,000,000 |
2,400,000 |
32 |
20 |
20 |
600,000 |
32 |
Compute-optimized EBMS instance family ebmc7a
-
Introduction:
-
Built on the third-generation X-Dragon Architecture, these instances use chip-level acceleration and fast-path technology to deliver stable, predictable, and ultra-high compute, storage, and network performance.
-
They provide dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Video encoding/decoding and rendering.
-
Data analytics and computing.
-
-
Compute:
-
The vCPU-to-memory ratio is 1:2.
-
Processor: AMD EPYCTM MILAN processors with a base frequency of 2.55 GHz and a single-core turbo frequency of up to 3.5 GHz, delivering consistent compute performance.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disk, ESSD AutoPL cloud disk, and Zone-redundant ESSD cloud disk. For more information about cloud disks, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Achieves network performance of up to 24 million PPS.
-
The following table lists the instance types and specifications for the ebmc7a instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
ENIs |
Private IPv4 addresses/ENI |
IPv6 addresses/ENI |
Baseline IOPS |
Disk bandwidth (Gbit/s) |
|
ecs.ebmc7a.64xlarge |
256 |
512 |
64 |
24,000,000 |
4,000,000 |
32 |
31 |
15 |
1 |
600,000 |
32 |
-
Instances of this type must use an image with the UEFI boot mode. If you use a custom image, ensure its boot mode is set to UEFI. For instructions on how to set the instance boot mode, see Instance Boot Mode.
-
Ubuntu 18 and Debian 9 kernels do not support AMD EPYC MILAN processors. Therefore, do not use Ubuntu 18 or Debian 9 images to create instances of this instance type. Otherwise, the instances will fail to start.
Compute-optimized ECS bare metal instance family ebmc6me
-
Introduction: Offers dedicated hardware resources and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or have hardware-bound licensing requirements.
-
Third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Video encoding/decoding and rendering.
-
Massively multiplayer online (MMO) game front ends.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
Processor-to-memory ratio of approximately 1:3.
-
Processor: Intel® Xeon® Gold 5218 (Cascade Lake) with a base frequency of 2.3 GHz and a turbo frequency of 3.9 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disks: ESSD, ESSD AutoPL cloud disk, ESSD (Zone-redundant) cloud disk, SSD cloud disk, and ultra disk. For more information, see Block storage.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
High network performance with a packet forwarding rate of up to 6 million PPS.
-
This table lists the instance types and specifications for the ebmc6me instance family.
|
Instance type |
vCPUs |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Packet rate (PPS) |
Connections |
ENIs |
Private IPv4 addresses / ENI |
IPv6 addresses / ENI |
Disk IOPS |
Disk bandwidth (Gbit/s) |
|
ecs.ebmc6me.16xlarge |
64 |
192 |
32 |
6,000,000 |
1,800,000 |
32 |
10 |
1 |
200,000 |
16 |
Compute-optimized ebmc6a instance family
This instance family is available by invitation only. To request access, submit a ticket.
-
Overview:
-
Built on the third-generation X-Dragon architecture, these instances use chip-level fast-path acceleration to provide stable, predictable, and high-performance compute, storage, and networking.
-
They offer dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or have hardware-bound license requirements.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployment.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Video encoding, decoding, and rendering.
-
Data analytics and compute.
-
-
Compute:
-
vCPU-to-memory ratio of 1:2.
-
Processor: 2.6 GHz AMD EPYCTM ROME processors with a 3.3 GHz turbo frequency, ensuring stable computing performance.
-
-
Storage:
-
I/O-optimized instances.
-
Supported cloud disk types: ESSD, ESSD AutoPL, ESSD Zone-Redundant, standard SSD, and ultra disk. For more information, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Ultra-high network performance of up to 24 million PPS.
-
The following table lists the instance types and specifications of the ebmc6a instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Packet rate (PPS) |
Multi-queue |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Cloud disk IOPS |
Cloud disk bandwidth (Gbit/s) |
|
ecs.ebmc6a.64xlarge |
256 |
512 |
64 |
24,000,000 |
32 |
31 |
10 |
1 |
600,000 |
32 |
ECS instances of this instance family require images that use UEFI. If you use a custom image, you must set its boot mode to UEFI. For details on setting the image boot mode, see Instance boot mode.
Compute-optimized (balanced-enhanced) ebmc6e instance family
-
Instance family description:
-
Built on the third-generation X-Dragon Architecture, these instances use chip-level acceleration and fast-path technology to provide stable, predictable, and exceptionally high compute, storage, and network performance.
-
They provide dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Running third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High packet-rate scenarios, such as live comment streaming and telecom service forwarding.
-
Web front-end servers.
-
Massively multiplayer online (MMO) game front ends.
-
Data analytics, batch computing, and video encoding.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of approximately 1:2.
-
Processor: Intel ® Xeon ® Platinum 8269CY (Cascade Lake) with a base frequency of 2.5 GHz and an all-core turbo frequency of 3.2 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, ESSD zone-redundant cloud disks, SSD cloud disks, and Ultra Disks. For more information, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Provides network performance of up to 24 million network PPS.
-
The following table lists the instance types and specifications for the ebmc6e instance family.
|
Instance type |
vCPUs |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
Elastic network interfaces |
Private IPv4 addresses per ENI |
IPv6 addresses per ENI |
Baseline cloud disk IOPS |
Baseline cloud disk bandwidth (Gbit/s) |
|
ecs.ebmc6e.26xlarge |
104 |
192 |
32 |
24,000,000 |
1,800,000 |
32 |
10 |
1 |
480,000 |
16 |
Compute-optimized elastic bare metal instance family ebmc6
-
Instance family description: Offers dedicated hardware resources and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Video encoding/decoding and rendering.
-
Massively multiplayer online (MMO) game front ends.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
Processor-to-memory ratio of approximately 1:2.
-
Processor: Intel® Xeon® Platinum 8269CY (Cascade Lake) with a base frequency of 2.5 GHz and an all-core turbo frequency of 3.2 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD, ESSD AutoPL, zone-redundant ESSD, SSD cloud disk, and ultra disk. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Offers a high network packet forwarding rate of up to 6 million PPS.
-
The following table lists the instance types and specifications for the ebmc6 instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Elastic network interfaces |
Private IPv4 addresses |
IPv6 addresses |
Baseline IOPS |
Cloud disk bandwidth (Gbit/s) |
|
ecs.ebmc6.26xlarge |
104 |
192 |
32 |
6,000,000 |
1,800,000 |
32 |
20 |
1 |
200,000 |
16 |
Memory-optimized elastic bare metal server instance family ebmr9ae
-
Introduction: These instances are built on Alibaba Cloud's new CIPU architecture and powered by the latest AMD EPYC™ Turin processors. They deliver consistent compute performance, a powerful I/O engine, and chip-level security hardening.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High-performance databases and in-memory databases.
-
Data analytics and mining, and distributed in-memory caches.
-
Hadoop, Spark clusters, and other enterprise applications with high memory requirements.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of 1:8.
-
Processor: AMD EPYC™ Turin processors with a boost frequency of up to 3.7 GHz. These instances use physical cores to ensure consistent compute performance.
-
-
Storage:
-
Supports adjustable baseline storage bandwidth.
-
I/O optimized instance.
-
These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
-
Supported cloud disk types: ESSD Cloud Disk, ESSD AutoPL Cloud Disk, and ESSD Zone-redundant Cloud Disk. For more information about cloud disks, see Block Storage Overview.
-
-
Network:
-
Supports adjustable baseline network bandwidth.
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Supports Elastic RDMA Interface (ERI). To use ERI, see Enable eRDMA on enterprise-level instances.
-
These instances support jumbo frames. For more information, see Jumbo frames.
-
The following table lists the instance types and specifications for the ebmr9ae instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
Elastic network interfaces |
Private IPv4 addresses |
IPv6 addresses |
Baseline IOPS |
Cloud disk bandwidth (Gbit/s) |
|
ecs.ebmr9ae.48xlarge |
192 |
1536 |
100/None |
30,000,000 |
6,000,000 |
64 |
38 |
50 |
50 |
600,000 |
50/None |
Memory-optimized instance family ebmr9i
-
Instance family description: Built on Alibaba Cloud's new CIPU architecture and powered by Intel® Xeon® 6 processors with P-cores, this instance family delivers consistent compute performance, an enhanced I/O engine, and chip-level security hardening.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High-performance databases and in-memory databases.
-
Data analytics and mining, and distributed in-memory caches.
-
Hadoop and Spark clusters, and other enterprise applications with high memory requirements.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of 1:8.
-
Processor: Intel® Xeon® Granite Rapids processors with a 3.2 GHz base frequency and a 3.6 GHz all-core turbo frequency.
-
-
Storage:
-
These are I/O optimized instances.
-
These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
-
Supported cloud disk types: ESSD Cloud Disks, ESSD AutoPL Cloud Disks, and ESSD Zone-Redundant Cloud Disks. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances support eRDMA. For information about how to use eRDMA, see Enable on enterprise-level instance.
-
These instances support jumbo frames. For more information, see Jumbo frames.
-
The following table lists the instance types and specifications for the ebmr9i instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline/burst network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
Elastic network interfaces |
Private IPv4 addresses per ENI |
IPv6 addresses per ENI |
Cloud disk IOPS (baseline/burst) |
Cloud disk bandwidth (baseline/burst) (Gbit/s) |
|
ecs.ebmr9i.48xlarge |
192 |
1536 |
64/None |
20,000,000 |
6,000,000 |
64 (primary network interface)/16 (secondary network interface) |
32 |
50 |
50 |
500,000/800,000 |
32/None |
General-purpose ebmr8a instance family
-
Instance family overview: Built on Alibaba Cloud's next-generation CIPU architecture and powered by AMD EPYC™ Genoa processors, this instance family delivers consistent compute performance, an enhanced I/O engine, and chip-level security hardening.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Workloads that are compatible with third-party hypervisors for hybrid cloud and multi-cloud deployment.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High-performance databases and in-memory databases.
-
Data analytics and mining, and distributed in-memory caches.
-
Hadoop and Spark clusters, and other enterprise applications with high memory requirements.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of 1:8.
-
Processor: Features AMD EPYC™ Genoa processors with a boost frequency up to 3.7 GHz for consistent compute performance.
-
-
Storage:
-
I/O-optimized instance.
-
Supports the NVMe protocol. For more information, see NVMe protocol overview.
-
Supported cloud disks: ESSD, ESSD AutoPL, and Zone-redundant ESSD. For more information about block storage, see Block storage overview.
-
-
Network:
-
Supports IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Supports Elastic RDMA Interface (ERI). For instructions, see Enable eRDMA on enterprise-level instances.
-
The ebmr8a instance family includes the following instance types:
|
Instance type |
vCPU |
Memory (GiB) |
Bandwidth (baseline/burst) (Gbit/s) |
Packets per second (PPS) |
Connections |
Multi-queue |
ENIs |
Private IPv4s per ENI |
IPv6s per ENI |
Disk IOPS (baseline/burst) |
Disk bandwidth (baseline/burst) (Gbit/s) |
|
ecs.ebmr8a.48xlarge |
192 |
1536 |
64/None |
18,000,000 |
3,000,000 |
64 |
38 |
30 |
30 |
500,000/None |
32/None |
Memory-enhanced instance family ebmr8y
To use ebmr8y, submit a ticket.
-
Introduction: This instance family uses Alibaba Cloud's next-generation CIPU architecture, providing consistent computing performance, an enhanced I/O engine, dedicated hardware resources, and physical isolation.
-
Scenarios:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Workloads that are compatible with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Containers, and Pouch.
-
Video on demand and live streaming.
-
Enterprise applications of all types and sizes.
-
Websites and application servers.
-
Data analytics and computation.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
Processor: Features Alibaba Cloud's proprietary Yitian 710 Arm architecture processors with a base frequency of at least 2.75 GHz. These instances do not use hyper-threading, which ensures stable computing performance.
-
-
Storage:
-
These are I/O optimized instances.
-
These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
-
Supported cloud disk types: ESSDs, ESSD AutoPL cloud disks, and zone-redundant ESSDs. For more information about cloud disks, see Block storage.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances support eRDMA. For information about how to use eRDMA, see Enable on enterprise-level instance.
-
These instances support jumbo frames. For more information, see Jumbo frames.
-
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
ENIs |
Private IPv4 per ENI |
IPv6 per ENI |
Cloud disk IOPS |
Disk bandwidth (Gbit/s) |
|
ecs.ebmr8y.32xlarge |
128 |
1024 |
64/None |
20,000,000 |
3,000,000 |
64 (primary)/32 (secondary) |
38 |
30 |
30 |
500,000/None |
32/None |
Ebmr7 memory-optimized instance family
-
Introduction
-
Built on the third-generation X-Dragon architecture, these instances use chip-level fast-path acceleration to deliver stable, predictable, and exceptionally high performance for compute, storage, and networking.
-
They provide dedicated hardware resources and physical isolation.
-
-
Use cases
-
Workloads that require direct access to physical resources or have hardware-bound licensing requirements.
-
Support for third-party hypervisors to enable hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High-performance databases and in-memory databases.
-
Data analytics and mining, and distributed in-memory caches.
-
Hadoop and Spark clusters, and other memory-intensive enterprise applications.
-
High-performance scientific and engineering applications.
-
-
Compute
-
vCPU-to-memory ratio of 1:8.
-
Processor: Intel® Xeon® Platinum 8369B (Ice Lake) with a base frequency of 2.9 GHz and an all-core turbo frequency of 3.5 GHz.
-
-
Storage
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD Zone-redundant cloud disks. For more information about block storage, see Block Storage Overview.
-
-
Network
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
They deliver network performance of up to 24 million Network PPS.
-
The following table shows the specifications for the ebmr7 instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Disk IOPS |
Disk bandwidth (Gbit/s) |
|
ecs.ebmr7.32xlarge |
128 |
1024 |
64 |
24,000,000 |
2,400,000 |
32 |
20 |
20 |
600,000 |
32 |
Ebmr7a memory-optimized instance family
-
Description:
-
Built on the third-generation X-Dragon architecture, these instances leverage chip-level acceleration and fast-path technology to deliver stable, predictable, and exceptionally high compute, storage, and network performance.
-
These instances provide dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or involve hardware-locked licensing.
-
They are compatible with third-party hypervisors, enabling hybrid cloud and multi-cloud deployments.
-
Running containers such as Docker, Clear Container, and Pouch.
-
Hosting in-memory databases.
-
Powering data analytics, data mining, and distributed in-memory caching.
-
Running Hadoop, Spark clusters, and other enterprise applications that require large amounts of memory.
-
-
Compute:
-
vCPU-to-memory ratio of 1:8.
-
Processor: 2.55 GHz AMD EPYCTM MILAN processors with a single-core turbo frequency of up to 3.5 GHz provide stable computing performance.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD zone-redundant cloud disks. For more information about cloud disks, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Offers exceptional network performance with up to 24 million network PPS.
-
The following table describes the instance types in the ebmr7a instance family.
|
Instance type |
vCPUs |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
Multi-queue |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmr7a.64xlarge |
256 |
2,048 |
64 |
24 million |
4 million |
32 |
31 |
15 |
1 |
600,000 |
32 |
-
For ECS instances of this instance type, you must use an image with the UEFI boot mode. If you use a custom image, you must ensure that its boot mode is set to UEFI. For details on setting the boot mode for a custom image, see Instance boot modes.
-
Do not use Ubuntu 18 or Debian 9 images for this instance type. Their kernels lack support for AMD EPYCTM MILAN processors, and instances created with them will fail to start.
Memory-optimized bare metal instance family ebmr6a
This instance family is available by invitation only. To request access, submit a ticket.
-
Introduction:
-
Built on the third-generation X-Dragon architecture, these instances use chip-level acceleration and fast-path technology to provide stable, predictable, and high performance for compute, storage, and networking.
-
These instances provide dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
In-memory databases.
-
Data analytics and mining, and distributed in-memory caches.
-
Hadoop, Spark clusters, and other enterprise applications with high memory requirements.
-
-
Compute:
-
vCPU-to-memory ratio of 1:8.
-
Processors: AMD EPYCTM ROME processors with a base frequency of 2.6 GHz and a turbo frequency of 3.3 GHz for stable compute performance.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disks: ESSDs, ESSD AutoPL disks, ESSD Zone-redundant disks, standard SSDs, and ultra disks. For more information, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances provide ultra-high network performance of up to 24 million PPS.
-
The following table lists the instance types and specifications for the ebmr6a instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Packet rate (PPS) |
Queue pairs |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Cloud disk IOPS |
Cloud disk bandwidth (Gbit/s) |
|
ecs.ebmr6a.64xlarge |
256 |
2048 |
64 |
24 million |
32 |
31 |
10 |
1 |
600,000 |
32 |
ECS instances in this instance family must use images with the boot mode set to UEFI. If you use a custom image, make sure its boot mode is set to UEFI. To learn how to set the boot mode for custom images, see Instance boot mode.
Memory-optimized ebmr6e instance family
-
Introduction:
-
Built on the third-generation X-Dragon architecture, these instances leverage chip-level acceleration and fast-path technology to deliver stable, predictable, and high compute, storage, and network performance.
-
Provides dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or have hardware-based licensing requirements.
-
Third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Containers, and Pouch.
-
Scenarios with high network packet rates, such as video streaming and telecom service forwarding.
-
High-performance databases and in-memory databases.
-
Data analytics and mining, and distributed in-memory caches.
-
Hadoop, Spark clusters, and other enterprise applications with high memory requirements.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of approximately 1:8.
-
Processor: Intel® Xeon® Platinum 8269CY (Cascade Lake) with a base frequency of 2.5 GHz and an all-core turbo frequency of 3.2 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
These instances support ESSD cloud disks and ESSD AutoPL cloud disks. For more information, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Delivers network performance of up to 24 million PPS.
-
This table lists the specifications for the ebmr6e instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
Elastic network interfaces |
Private IPv4 addresses |
IPv6 addresses |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmr6e.26xlarge |
104 |
768 |
32 |
24,000,000 |
1,800,000 |
32 |
10 |
1 |
480,000 |
16 |
Ebmr6 instance family: Memory-optimized elastic bare metal server
-
Introduction: Offers dedicated hardware resources and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licensing.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployment.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High-performance databases and in-memory databases.
-
Data analytics and mining, and distributed in-memory caches.
-
Hadoop, Spark clusters, and other enterprise applications with high memory requirements.
-
-
Compute:
-
vCPU-to-memory ratio of approximately 1:8.
-
Processors: Intel® Xeon® Platinum 8269CY (Cascade Lake) with a 2.5 GHz base frequency and a 3.2 GHz all-core turbo frequency.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD, ESSD AutoPL cloud disk, zone-redundant ESSD, SSD cloud disk, and ultra disk. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
High network performance: 6,000,000 network PPS.
-
This table lists the specifications of the ebmr6 instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Cloud disk IOPS |
Cloud disk bandwidth (Gbit/s) |
|
ecs.ebmr6.26xlarge |
104 |
768 |
32 |
6,000,000 |
1,800,000 |
32 |
20 |
1 |
200,000 |
16 |
Ebmre6p: Persistent memory-optimized instance family
To use ebmre6p, submit a ticket.
-
Description: Provides dedicated hardware resources and physical isolation.
-
Use cases:
-
In-memory databases, such as Redis.
-
High-performance databases, such as SAP HANA.
-
Other memory-intensive applications, such as AI applications and intelligent search applications.
-
-
Compute:
-
Powered by Intel® Optane™ persistent memory, these instances are optimized end-to-end for Redis workloads and deliver a high price-performance ratio.
-
These instances support up to 1,920 GiB of memory (384 GiB of DRAM memory and 1,536 GiB of Intel® Optane™ persistent memory) with a vCPU-to-memory ratio of nearly 1:20, making them ideal for memory-intensive applications.
-
Processor: 2.5 GHz Intel® Xeon® Platinum 8269CY (Cascade Lake) processor with an all-core turbo frequency of 3.2 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, ESSD zone-redundant cloud disks, SSD cloud disks, and Ultra Disks. For more details, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
These instances deliver high network performance of up to 6 million packets per second (PPS).
-
The following table lists the instance types and specifications for the ebmre6p instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Persistent memory (GiB) |
Baseline network bandwidth (Gbit/s) |
PPS |
ENIs |
Private IPv4s/ENI |
IPv6s/ENI |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmre6p.26xlarge |
104 |
384 |
1536 |
32 |
6,000,000 |
31 |
10 |
1 |
200,000 |
16 |
Ebmre6-6t memory-enhanced ECS bare metal instance family
To use ebmre6-6t, submit a ticket to request access.
-
Description: Provides dedicated hardware resources and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
High-performance databases and in-memory databases (such as SAP HANA).
-
Memory-intensive applications.
-
Big data processing engines (such as Apache Spark and Presto).
-
-
Compute:
-
Processor-to-memory ratio of approximately 1:30.
-
Processors: Intel® Xeon® Platinum 8269 (Cascade Lake) with a base frequency of 2.5 GHz and an all-core turbo frequency of 3.2 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disks: ESSD cloud disks, ESSD AutoPL cloud disks, ESSD zone-redundant cloud disks, SSD cloud disks, and ultra disks. For more information about block storage, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Delivers a packet forwarding rate of 6 million PPS.
-
The following table lists the instance types in the ebmre6-6t instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
IPv4 addresses per ENI |
IPv6 addresses per ENI |
Baseline IOPS |
Baseline bandwidth (Gbit/s) |
|
ecs.ebmre6-6t.52xlarge |
208 |
6144 |
32 |
6 million |
1.8 million |
32 |
10 |
1 |
200,000 |
16 |
High-frequency general-purpose bare metal instance family ebmhfg7
-
Instance family overview:
-
Built on the third-generation X-Dragon architecture, these instances use chip-level acceleration and fast-path technology to provide stable, predictable, and extremely high performance for compute, storage, and networking.
-
These instances provide dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
-
Enterprise applications of all types and sizes.
-
Game servers.
-
Small to medium-sized database systems, caches, and search clusters.
-
High-performance scientific computing.
-
Video encoding applications.
-
-
Compute:
-
vCPU-to-memory ratio of 1:4.
-
Processor: 3rd Generation Intel® Xeon® Scalable processors (Cooper Lake architecture) with a 3.3 GHz base frequency and a 3.8 GHz all-core turbo frequency.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: temporary disk, ESSD, ESSD AutoPL, and ESSD Zone-redundant Disk. For more information about block storage, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Delivers ultra-high network performance of up to 24 million network PPS.
-
The following table lists the instance types and specifications for the ebmhfg7 instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Multi-queue |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Baseline IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmhfg7.48xlarge |
192 |
768 |
64 |
24 million |
32 |
31 |
10 |
1 |
600,000 |
32 |
High-frequency compute-optimized instance family ebmhfc7
-
Instance family overview:
-
Powered by the third-generation X-Dragon Architecture, these instances use chip-level fast-path acceleration to deliver stable, predictable, and ultra-high compute, storage, and network performance.
-
They provide dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads requiring direct access to physical resources or with hardware-bound licensing.
-
High-packet-rate networking, such as live comment streaming and telecom traffic forwarding.
-
High-performance front-end server clusters.
-
Massively multiplayer online (MMO) game front-ends.
-
Data analysis, batch computing, and video encoding.
-
High-performance scientific and engineering applications.
-
-
Compute:
-
vCPU-to-memory ratio of 1:2.
-
Processor: Third-generation Intel® Xeon® Scalable processors (Cooper Lake) with a base frequency of 3.3 GHz and an all-core turbo frequency of 3.8 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supports ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD Zone-redundant cloud disks. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Achieves network performance of up to 24 million PPS.
-
The following table lists the instance types and specifications for the ebmhfc7 instance family.
|
Instance type |
vCPUs |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Multi-queue |
ENIs |
Private IPv4s per ENI |
IPv6s per ENI |
Baseline cloud disk IOPS |
Baseline cloud disk bandwidth (Gbit/s) |
|
ecs.ebmhfc7.48xlarge |
192 |
384 |
64 |
24,000,000 |
32 |
31 |
10 |
1 |
600,000 |
32 |
High-frequency memory-optimized instance family ebmhfr7
-
Instance family overview:
-
Built on the third-generation X-Dragon architecture, these instances use chip-level acceleration and fast-path technology to deliver stable, predictable, and ultra-high compute, storage, and network performance.
-
Provides dedicated hardware resources and physical isolation.
-
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
-
High-performance databases and in-memory databases.
-
Data analytics and mining, and distributed in-memory caches.
-
Hadoop and Spark clusters, and other enterprise applications with high memory requirements.
-
-
Compute:
-
vCPU-to-memory ratio of 1:8.
-
Processor: third-generation Intel® Xeon® Scalable processors (Cooper Lake architecture) with a base frequency of at least 3.3 GHz and an all-core turbo frequency of 3.8 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, and ESSD Zone-Redundant cloud disks. For more information about block storage, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Delivers ultra-high network performance of up to 24 million network PPS.
-
This table lists the instance types and specifications of the ebmhfr7 instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Multi-queue |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmhfr7.48xlarge |
192 |
1536 |
64 |
24,000,000 |
32 |
31 |
10 |
1 |
600,000 |
32 |
Ebmhfg6: a high-frequency, general-purpose bare metal instance family
-
Introduction: Provides dedicated hardware resources and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or have hardware-based licensing requirements.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Resource-intensive database applications for medium to large enterprises.
-
Video encoding/decoding and rendering.
-
-
Compute:
-
vCPU-to-memory ratio of 1:4.8.
-
Processor: Intel® Xeon® Platinum 8269CY (Cascade Lake) with a 3.1 GHz base frequency and a 3.5 GHz all-core turbo frequency.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD, ESSD AutoPL cloud disk, ESSD zone-redundant cloud disk, SSD cloud disk, and ultra disk. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Provides up to 6 million network PPS.
-
The following table lists the instance types and specifications for the ebmhfg6 instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
Private IPv4s/ENI |
IPv6s/ENI |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmhfg6.20xlarge |
80 |
384 |
32 |
6,000,000 |
1,800,000 |
32 |
20 |
1 |
200,000 |
16 |
High-frequency compute-optimized elastic bare metal instance family ebmhfc6
-
Instance family overview: Dedicated hardware resources with physical isolation.
-
Use cases:
-
High packet-rate networking scenarios, such as live comment streaming and telecom traffic forwarding.
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Video encoding/decoding and rendering.
-
-
Compute:
-
vCPU-to-memory ratio of 1:2.4
-
Intel® Xeon® Platinum 8269CY (Cascade Lake) processor with a 3.1 GHz base frequency and a 3.5 GHz all-core turbo frequency
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, Zone-redundant ESSD cloud disks, SSD cloud disks, and ultra disks. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Packet forwarding rate of up to 6 million PPS.
-
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmhfc6.20xlarge |
80 |
192 |
32 |
6 million |
1.8 million |
32 |
20 |
1 |
200,000 |
16 |
High-frequency memory-optimized ebmhfr6 instance family
-
Instance family overview: Offers dedicated hardware resources and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or have hardware-bound licensing requirements.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High-performance databases and in-memory databases.
-
Data analytics and mining, and distributed in-memory caching.
-
Hadoop, Spark clusters, and other enterprise applications with large memory requirements.
-
-
Compute:
-
vCPU-to-memory ratio of 1:9.6.
-
Processor: 3.1 GHz Intel® Xeon® Platinum 8269CY (Cascade Lake) with an all-core turbo frequency of 3.5 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSDs, ESSD AutoPLs, zone-redundant ESSDs, SSD cloud disks, and Ultra Disks. For more information, see block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Packet processing rate of up to 6 million PPS.
-
The following table lists the instance types and specifications for the ebmhfr6 instance family.
|
Instance type |
vCPUs |
Memory (GiB) |
Baseline network bandwidth (Gbps) |
Network PPS |
Connections |
Elastic network interfaces |
Private IPv4 addresses per ENI |
IPv6 addresses per ENI |
Baseline cloud disk IOPS |
Baseline cloud disk bandwidth (Gbps) |
|
ecs.ebmhfr6.20xlarge |
80 |
768 |
32 |
6 million |
1.8 million |
32 |
20 |
1 |
200,000 |
16 |
GPU elastic bare metal server instance family ebmgn9g
The ebmgn9g instance family is available by invitation only. To request access, submit a ticket.
-
Instance family introduction: The ebmgn9g instance family is Alibaba Cloud's ninth-generation line of cost-effective, full-featured GPU bare metal instances. Powered by the latest CIPU 2.0, these instances combine high-frequency CPUs, large memory capacity, and new Blackwell architecture professional GPUs. They deliver high-performance and cost-effective GPU cloud services for a wide range of accelerated workloads, such as training for autonomous driving and embodied intelligence, large model inference, film and animation rendering, and services for the metaverse and cloud gaming.
-
Use cases and features:
-
Autonomous driving/embodied intelligence:
With 256 vCPUs running at an all-core frequency of up to 4.2 GHz and 2,304 GiB of memory, these instances handle the demanding data processing requirements for autonomous driving and embodied intelligence training. -
Search and recommendation:
The Blackwell GPU provides 126 TFLOPS of TF32 computing power. Each GPU is paired with 32 vCPUs and 153 GB/s of memory bandwidth, making it an optimal configuration for search and advertising services. -
Large model inference:
The new-generation GPU offers a significant performance leap over its predecessor, with video memory bandwidth increased to 1,344 GB/s. Support for FP4 computing power significantly improves inference performance and cost-effectiveness. The eight GPUs are interconnected via PCIe Gen5 with a bandwidth of 128 GB/s. This connection dramatically improves multi-card parallel inference efficiency. -
Cloud gaming/rendering/metaverse:
With a CPU frequency of up to 5 GHz, these instances are an excellent choice for 3D modeling. The GPU provides certified, workstation-grade graphics drivers with full OpenGL acceleration, making these instances the optimal choice for high-end film and animation development and CAD design.
-
-
Powered by the latest CIPU 2.0:
The second-generation CIPU offers increased processing power, enhancing the performance of eRDMA, VPC, and cloud disk components. Bare metal instances are ideal for workloads that require direct access to physical resources or have requirements such as hardware-based licensing. They also support containers, including but not limited to Docker, Clear Containers, and PouchContainer.
-
Compute:
-
Powered by new Blackwell architecture professional GPUs:
-
Supports professional-grade OpenGL graphics processing.
-
Supports common acceleration features such as RTX and TensorRT, with newly added support for FP4 and PCIe Gen5 interconnect.
-
Utilizes a PCIe switch for interconnection, which improves NCCL performance by 36% compared to a direct-to-CPU connection. This can boost performance by up to 9% for large model inference with multi-card sharding.
-
-
Key GPU specifications:
GPU architecture
Video memory
Compute performance
Encode/decode engines
Inter-GPU interconnect
Acceleration APIs
Blackwell
-
Capacity: 48 GB
-
Bandwidth: 1,344 GB/s
-
TF32: 126 TFLOPS
-
FP32: 52 TFLOPS
-
FP16/BF16: 266 TFLOPS
-
FP8/INT8: 533 TFLOPS
-
FP4: 970 TFLOPS
-
RT core: 196 TFLOPS
-
3 × Video Encoder
-
3 × Video Decoder
-
PCIe Gen5 x16: 128 GB/s
-
Supports P2P
Supports DX12,
OpenGL 4.6, Vulkan 1.3, CUDA 12.8, OpenCL 3.0, and DirectCompute
-
-
Processor: AMD Turin-C processors with a frequency range of 3.3 GHz to 5 GHz and an all-core turbo of up to 4.2 GHz.
-
-
Storage:
-
I/O-optimized instance.
-
Supports the NVMe protocol. For more information, see NVMe protocol overview.
-
Supported cloud disk types: elastic temporary disk, ESSD, ESSD AutoPL, and ESSD with zone-redundancy. For more information about block storage, see Block storage overview.
-
-
Network:
-
Supports IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Delivers network performance of up to 30 million Network PPS.
-
Supports eRDMA, which enables RDMA pass-through acceleration over VPC networks. eRDMA increases bandwidth to 360 Gbit/s and is ideal for training workloads in autonomous driving, embodied intelligence, computer vision (CV), and traditional models.
NoteFor instructions on how to use eRDMA, see Enable eRDMA for an enterprise-level instance.
-
The following table lists the specifications for the ebmgn9g instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Video memory |
Network bandwidth (Gbit/s) |
Network PPS |
Private IPv4 addresses |
IPv6 addresses |
Queues (primary/secondary) |
ENIs |
Max data disks |
Cloud disk bandwidth (GB/s) |
|
ecs.ebmgn9g.64xlarge |
256 |
2304 |
48 GB × 8 |
360 (180 × 2) |
30 million |
30 |
30 |
64/16 |
38 |
33 |
8 |
ebmgn9g instances require images that use the UEFI boot mode. If you use a custom image, ensure it supports the UEFI boot mode and that its boot mode property is set to UEFI. For more information, see Instance boot mode.
GPU elastic bare metal server instance family ebmgn9ge
The ebmgn9ge instance family is available by invitation only. To request access, submit a ticket.
-
Introduction: The ebmgn9ge instance family is Alibaba Cloud's 9th generation of full-featured, cost-effective GPU bare metal instances. Powered by the latest CIPU 2.0, these instances combine high-frequency CPUs, large memory capacity, and new Blackwell architecture professional GPUs. They deliver high-performance and cost-effective GPU cloud services for a wide range of accelerated workloads, including autonomous driving and embodied intelligence training, large model inference, film and animation rendering, and metaverse and cloud gaming services.
-
Use cases and features:
-
Autonomous driving and embodied intelligence:
With 256 vCPUs running at an all-core frequency of over 4.2 GHz and 2.3 TB of memory, these instances meet the demanding data processing needs of autonomous driving and embodied intelligence training. -
Search and recommendation:
The Blackwell GPU provides 126 TFLOPS of TF32 computing power. Each GPU is paired with 32 vCPUs and 153 GB/s of memory bandwidth, providing an optimal configuration for search and advertising services. -
Large model inference:
The ebmgn9ge instance family is specifically designed for large language models, offering 72 GB of GPU memory per GPU. The GPU memory bandwidth reaches 1,344 GB/s, delivering high-performance inference for LLM scenarios. Combined with the new FP4 compute architecture and 128 GB/s of PCIe Gen5 bandwidth, an instance can support parallel inference for models larger than 671 billion parameters across 8 GPUs.
-
Cloud gaming, rendering, and metaverse:
With a CPU frequency of up to 5 GHz, these instances are well-suited for 3D modeling. The GPU natively supports graphics capabilities and provides certified workstation-grade graphics drivers with full OpenGL acceleration, making them ideal for high-end film and animation development and CAD design.
-
-
Powered by the latest CIPU 2.0:
The 2nd generation CIPU delivers greater cloud processing power, enhancing performance for eRDMA, VPC, and EBS components. Bare metal instances allow workloads to directly access physical resources or meet requirements such as hardware-based licensing. They also support containers, such as Docker, Clear Containers, and Pouch.
-
Compute:
-
Powered by new Blackwell architecture professional GPUs:
-
Supports professional-grade OpenGL graphics processing.
-
Supports common acceleration features like RTX and TensorRT, and adds support for FP4 compute and the PCIe Gen5 interconnect.
-
Utilizes a PCIe switch for interconnection, which improves NCCL performance by 36% compared to a direct-to-CPU connection. This can boost performance by up to 9% for large model inference with multi-GPU sharding.
-
-
GPU key specifications:
GPU architecture
GPU memory
Compute performance
Video encode/decode engines
Inter-GPU interconnect
Accelerated APIs
Blackwell
-
Capacity: 72 GB
-
Bandwidth: 1,344 GB/s
-
TF32: 126 TFLOPS
-
FP32: 52 TFLOPS
-
FP16/BF16: 266 TFLOPS
-
FP8/INT8: 533 TFLOPS
-
FP4: 970 TFLOPS
-
RT core: 196 TFLOPS
-
3 × Video Encoder
-
3 × Video Decoder
-
PCIe Gen5 x16: 128 GB/s
-
Supports P2P
Supports DX12,
OpenGL 4.6, Vulkan 1.3, CUDA 12.8, OpenCL 3.0, and DirectCompute
-
-
Processor: AMD Turin-C processors with a frequency range of 3.3 GHz to 5 GHz and an all-core turbo of up to 4.2 GHz.
-
-
Storage:
-
I/O-optimized instance.
-
Supports the NVMe protocol. For more information, see NVMe Protocol Overview.
-
Supported cloud disk types: elastic temporary disk, ESSD, ESSD AutoPL disks, and ESSD Zone-Redundant Disk. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
Supports IPv4 and IPv6. For information about IPv6 communication, see IPv6 Communication.
-
Delivers network performance of up to 30 million network packets per second (PPS).
-
Supports ERI (Elastic RDMA Interface), which enables RDMA pass-through acceleration over VPC networks. ERI increases bandwidth to 360 Gbit/s and is ideal for training workloads in autonomous driving, embodied intelligence, computer vision (CV), and traditional models.
NoteFor instructions on how to use ERI, see Enable eRDMA on enterprise-level instances.
-
The following table lists the instance types and specifications for the ebmgn9ge instance family.
For a lower-cost version with less memory, you can select ebmgn9gc.
|
Instance type |
vCPU |
Memory (GiB) |
GPU memory |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Private IPv4 addresses per ENI |
IPv6 addresses per ENI |
Queue pairs (primary/secondary ENI) |
ENIs |
Max attachable data disks |
Max cloud disk bandwidth (GB/s) |
|
ecs.ebmgn9ge.64xlarge |
256 |
2,304 |
72 GB × 8 |
360 (180 × 2) |
30 million |
30 |
30 |
64/16 |
38 |
33 |
8 |
Instances of the ebmgn9ge instance family require an image that uses the UEFI boot mode. If you use a custom image, ensure that the image supports the UEFI boot mode and that its boot mode property is set to UEFI. For more information, see Instance Boot Mode.
GPU-accelerated elastic bare metal instance family ebmgn9gc
The ebmgn9gc instance family is available by invitation only. To request access, submit a ticket.
-
Introduction: The ebmgn9gc instance family is Alibaba Cloud's 9th generation of full-featured, cost-effective GPU bare metal instances. Powered by the latest CIPU 2.0, these instances combine high-frequency CPUs, large-capacity memory, and new Blackwell architecture professional GPUs to deliver cost-effective GPU cloud services for a wide range of accelerated workloads, including autonomous driving and embodied intelligence training, large model inference, film and animation rendering, and metaverse and cloud gaming services.
-
Use cases and features:
-
Autonomous driving and embodied intelligence:
Offers 256 vCPUs with a frequency range of 3.3 GHz to 5.0 GHz and an all-core turbo of up to 4.2 GHz. Paired with 1.5 TB of memory, these instances meet the data processing demands of autonomous driving and embodied intelligence training. -
Search and recommendation:
The equipped Blackwell GPUs provide 126 TFLOPS of high-performance TF32 compute. Each GPU is paired with 32 vCPUs and 153 GB/s of memory bandwidth, providing an optimal configuration for search and advertising services. -
Large model inference:
The ebmgn9gc instances are designed for large language models. With 72 GB of GPU memory and 1,344 GB/s of memory bandwidth per GPU, they deliver high-performance inference for LLM scenarios. Combined with the new FP4 compute architecture and 128 GB/s of PCIe Gen5 bandwidth, an 8-card instance can support parallel inference for models with over 671 billion parameters.
-
Cloud gaming, rendering, and metaverse:
With a CPU frequency of up to 5.0 GHz, these instances are well-suited for 3D modeling. The GPUs natively support graphics capabilities and provide certified workstation-grade graphics drivers with full OpenGL acceleration, making them a good choice for high-end film and animation development and CAD design.
-
-
Powered by the latest CIPU 2.0:
The 2nd generation CIPU offers higher cloud processing power and enhanced computing capabilities for eRDMA, VPC, and block storage. Bare metal instances allow workloads to directly access physical resources or meet requirements such as hardware-based licensing. They also support containers, such as Docker, Clear Container, and Pouch.
-
Compute:
-
Powered by new Blackwell architecture professional GPUs:
-
Supports professional-grade OpenGL graphics processing features.
-
Supports common acceleration features such as RTX and TensorRT, and adds support for FP4 and PCIe Gen5 interconnect.
-
Utilizes a PCIe switch for interconnection, which improves NCCL performance by 36% compared to a direct-to-CPU connection. This can boost performance by up to 9% for large model inference with multi-card sharding.
-
-
GPU key parameters:
GPU architecture
GPU memory
Compute performance
Video encoding/decoding
GPU-to-GPU interconnect
Acceleration APIs
Blackwell
-
Capacity: 72 GB
-
Bandwidth: 1,344 GB/s
-
TF32: 126 TFLOPS
-
FP32: 52 TFLOPS
-
FP16/BF16: 266 TFLOPS
-
FP8/INT8: 533 TFLOPS
-
FP4: 970 TFLOPS
-
RT Core: 196 TFLOPS
-
3 × Video Encoder
-
3 × Video Decoder
-
PCIe Gen5 x16: 128 GB/s
-
Supports P2P
Supports DX12,
OpenGL 4.6, Vulkan 1.3, CUDA 12.8, OpenCL 3.0, and DirectCompute
-
-
Processor: AMD Turin-C processor with a frequency range of 3.3 GHz to 5.0 GHz and an all-core turbo of up to 4.2 GHz.
-
-
Storage:
-
I/O optimized instance.
-
Supports the NVMe protocol. For more information, see NVMe protocol overview.
-
Supported cloud disk types: Elastic Temporary Disk, ESSD, ESSD AutoPL, and ESSD Zone-Redundant Disk. For more information about block storage, see Block Storage Overview.
-
-
Network:
-
Supports IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Delivers network performance of up to 30 million packets per second (PPS).
-
Supports elastic RDMA (eRDMA), which enables RDMA pass-through acceleration over VPC networks. eRDMA increases bandwidth to 360 Gbit/s and is ideal for training workloads in autonomous driving, embodied intelligence, computer vision (CV), and traditional models.
NoteFor instructions on how to use eRDMA, see Enable eRDMA on enterprise-level instances.
-
The following table lists the instance types and specifications for the ebmgn9gc instance family.
For a version with more memory, you can select ebmgn9ge.
|
Instance type |
vCPU |
Memory (GiB) |
GPU memory |
Network bandwidth (Gbit/s) |
Network PPS |
Private IPv4 addresses |
IPv6 addresses |
Multi-queue (primary/secondary) |
Elastic network interfaces |
Maximum data disks |
Cloud disk bandwidth (GB/s) |
|
ecs.ebmgn9gc.64xlarge |
256 |
1536 |
72 GB × 8 |
360 (180 × 2) |
30,000,000 |
30 |
30 |
64/16 |
38 |
33 |
8 |
Instances in the ebmgn9gc instance family must be launched from an image that uses the UEFI boot mode. If you use a custom image, ensure that it supports the UEFI boot mode and its boot mode property is set to UEFI. For more information, see Instance boot mode.
GPU compute-optimized elastic bare metal server instance family ebmgn8v
This instance family is currently available only in select regions. To request access, contact your Alibaba Cloud sales representative.
-
Instance family overview: ebmgn8v is Alibaba Cloud's 8th-generation accelerated computing instance family (Elastic Bare Metal Server instance family), designed for AI model training and ultra-large parameter models. Each instance is a bare metal host equipped with eight GPU cards.
-
Use cases:
-
Cost-effective for multi-GPU parallel inference on large language models (LLMs) with more than 70 billion parameters.
-
Each GPU delivers 39.5 TFLOPS of FP32 compute, making it ideal for traditional AI model training and autonomous driving workloads.
-
NVLINK interconnection among the eight GPUs supports small- and medium-sized model training scenarios.
-
-
Key features and positioning:
-
High-speed, large-capacity GPU memory: Each GPU has 96 GB of HBM3 memory, delivering a memory bandwidth of 4 TB/s. This significantly accelerates model training and inference.
-
High inter-GPU bandwidth: The GPUs are interconnected via 900 GB/s NVLINK, providing significantly higher efficiency for multi-GPU training and inference compared to previous GPU generations.
-
Large model quantization technology: Supports FP8 compute, which optimizes performance for training and inference with large-scale parameters. This significantly increases computational speed and reduces GPU memory usage.
-
-
Compute:
-
Powered by the latest CIPU (Cloud Processing Unit) 1.0:
-
Decouples compute and storage, enabling flexible selection of storage resources. Compared to 7th-generation GPU instances, the inter-host bandwidth is increased to 160 Gbit/s for faster data transfer and processing.
-
Unlike traditional virtualized instances, the CIPU provides bare metal capabilities that support P2P communication between GPU instances.
-
-
Powered by 4th Generation Intel® Xeon® Scalable processors, providing 192 vCPUs with an all-core turbo frequency of up to 3.1 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
-
Supported cloud disk types: elastic temporary disks, ESSD cloud disks, ESSD AutoPL cloud disks, and zone-redundant ESSD cloud disks. For more information about cloud disks, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Delivers ultra-high network performance of up to 30 million PPS.
-
Supports Elastic RDMA Interface (ERI), which enables RDMA pass-through acceleration over VPC networks. ERI increases bandwidth to 160 Gbit/s and is ideal for computer vision (CV) and traditional model training workloads.
NoteFor instructions on how to use ERI, see Enable eRDMA on enterprise-level instances.
-
The following table describes the instance types and specifications of the ebmgn8v instance family.
|
Instance type |
vCPU |
Memory (GiB) |
GPU memory |
Baseline network bandwidth (Gbit/s) |
Packet forwarding rate (PPS) |
Private IPv4s per ENI |
IPv6s per ENI |
Multi-queue |
ENIs |
Max data disks |
Max cloud disk bandwidth (GB/s) |
|
ecs.ebmgn8v.48xlarge |
192 |
1,024 |
96 GB × 8 |
170 (85 × 2) |
30 million |
30 |
30 |
64 |
32 |
31 |
6 |
The boot mode for images used by ebmgn8v instances must be UEFI. If you use a custom image, ensure that the image supports the UEFI boot mode and that its boot mode attribute is set to UEFI. For more information, see Instance boot modes.
GPU-accelerated ebmgn8ia instance family
This instance family is currently available only in select regions. To request access, contact your Alibaba Cloud sales representative.
-
Introduction: The ebmgn8ia, an elastic bare metal instance family, is Alibaba Cloud's eighth-generation accelerated computing instance family. It is designed for search and recommendation, simulation, and other GPU-intensive workloads that require a high vCPU-to-GPU ratio. Powered by the latest NVIDIA L20 GPUs, each instance is a bare metal server equipped with two high-frequency processors and four GPUs.
-
Features and use cases:
-
High frequency: These instances are equipped with two AMD EPYC™ Genoa 9T34 processors. Each processor has 64 physical cores, providing a total of 256 vCPUs per instance, with a frequency range of 3.4 GHz to 3.75 GHz. This significantly boosts single-core CPU performance, making it ideal for CAD modeling and accelerating preprocessing for CAE simulations.
-
Sparse resource ratio: Each GPU is paired with 64 vCPUs and 384 GiB of memory, delivering an average memory bandwidth of 230 GB/s per GPU. This configuration is suitable for GPU computing scenarios that require high I/O throughput, such as advertising, search, recommendation, traditional CAE simulations, and certain CPU-based rendering tasks in film production.
-
-
Powered by the latest CIPU 1.0:
-
Decouples compute and storage, allowing you to flexibly select storage resources. Compared to the previous generation, the inter-machine bandwidth of this instance type is increased to 160 Gbit/s for faster data transfer and processing.
-
The CIPU provides bare metal capabilities, enabling PCIe P2P communication between GPU instances, an improvement over traditional virtualized instances.
-
-
Compute:
-
Powered by new enterprise-class NVIDIA L20 GPUs:
-
Supports common acceleration features such as vGPU, RTX, and TensorRT.
-
Supports FP8 precision to improve computational efficiency.
-
-
NVIDIA L20 key specifications:
GPU architecture
GPU memory
Compute performance
Video encode/decode engines
GPU interconnect
NVIDIA Ada Lovelace
-
Capacity: 48 GB
-
Bandwidth: 864 GB/s
-
FP64: N/A
-
FP32: 59.3 TFLOPS
-
FP16/BF16: 119 TFLOPS
-
FP8/INT8: 237 TFLOPS
-
3 × Video Encoder (+AV1)
-
3 × Video Decoder
-
4 × JPEG Decoder
-
PCIe interface: PCIe Gen4 x16
-
Bandwidth: 64 GB/s
-
-
Processor: AMD EPYC™ Genoa 9T34 processors with a frequency range of 3.4 GHz to 3.75 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
-
Supported cloud disks: elastic temporary disk, ESSD cloud disk, ESSD AutoPL cloud disk, and ESSD Zone-redundant cloud disk. For more information, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Delivers ultra-high network performance of up to 30,000,000 PPS.
-
Supports Elastic RDMA Interface (ERI), which enables RDMA passthrough over VPC networks. ERI increases bandwidth to 160 Gbit/s and is ideal for training computer vision (CV) and traditional models.
NoteFor instructions on using ERI, see Enable eRDMA on an enterprise-level instance.
-
The following table lists the instance types and specifications for the ebmgn8ia instance family.
|
Instance type |
vCPU |
Memory (GiB) |
GPU |
GPU memory |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Private IPv4 addresses per ENI |
IPv6 addresses per ENI |
Queue number (Primary/Secondary ENI) |
Elastic network interfaces |
Max data disks |
Max cloud disk bandwidth (GB/s) |
|
ecs.ebmgn8ia.64xlarge |
256 |
1536 |
L20 × 4 |
48 GB × 4 |
160 (80 × 2) |
30,000,000 |
30 |
30 |
64/16 |
32 |
31 |
6 |
Instances of the ebmgn8ia instance family require an image that uses the UEFI boot mode. If you use a custom image, it must support UEFI boot, and its boot mode property must be set to UEFI. For more information, see Instance boot mode.
GPU compute-optimized elastic bare metal family ebmgn8is
This instance family is currently available only in select regions outside the Chinese mainland. For inquiries, contact your Alibaba Cloud sales representative.
-
Instance family overview: The ebmgn8is is the 8th-generation accelerated computing instance family from Alibaba Cloud. As an elastic bare metal instance family, it is built for the growing demand in AI-generated workloads. Powered by the latest NVIDIA L20 GPUs, each instance is a bare metal host with eight GPU cards.
-
Features and positioning:
-
Graphics processing: These instances are powered by high-frequency 4th Generation Intel® Xeon® Scalable processors. They provide ample CPU computing power for 3D modeling, ensuring smoother graphics rendering and design.
-
Inference tasks: Powered by the new NVIDIA L20 GPUs, where each card provides 48 GB of memory to accelerate inference tasks. These instances support the FP8 floating-point format. Combined with Alibaba Cloud Container Service for Kubernetes (ACK), they flexibly support inference on various AIGC models and are especially suitable for inference tasks on large language models (LLMs) with up to 70 billion parameters.
-
Training tasks: These instances offer cost-effective computing power, delivering double the FP32 compute performance compared to 7th-generation inference instances. They are particularly suitable for training computer vision (CV) models that use FP32, and for training other small to medium-sized models.
-
-
Use cases:
-
Use GRID images with GRID graphics drivers from the Cloud Marketplace to enable OpenGL and Direct3D graphics capabilities. This provides workstation-grade graphics processing for workloads such as animation, film and television special effects, and rendering.
-
Combined with the containerized management capabilities of ACK, you can more efficiently and cost-effectively support AIGC graphics generation and large language model (LLM) inference (up to 130 billion parameters).
-
Other general AI scenarios, such as image recognition and speech recognition.
-
-
Powered by the latest CIPU 1.0:
-
Features decoupled compute and storage, which allows you to flexibly select the required storage resources. Compared with the previous generation, the inter-instance bandwidth of this instance family is increased to 160 Gbit/s to enable faster data transfer and processing.
-
CIPU provides bare metal capabilities that enable PCIe P2P communication between GPUs, which is not supported by traditional virtualized instances.
-
-
Compute:
-
Powered by new enterprise-class NVIDIA L20 GPUs:
-
Supports common acceleration features such as vGPU, RTX, and TensorRT.
-
Uses a PCIe switch for interconnection. Compared with a direct-to-CPU connection, this design improves NCCL performance by 36% and can increase inference performance by up to 9% when you run sharded inference for large models across multiple cards.
-
-
Key NVIDIA L20 parameters:
GPU architecture
GPU memory
Compute performance
Video encoding/decoding
Inter-GPU interconnect
NVIDIA Ada Lovelace
-
Capacity: 48 GB
-
Bandwidth: 864 GB/s
-
FP64: N/A
-
FP32: 59.3 TFLOPS
-
FP16/BF16: 119 TFLOPS
-
FP8/INT8: 237 TFLOPS
-
3 × Video Encoder (+AV1)
-
3 × Video Decoder
-
4 × JPEG Decoder
-
PCIe interface: PCIe Gen4 x16
-
Bandwidth: 64 GB/s
-
-
Processor: Intel® Xeon® Scalable processors (SPR) with a 3.4 GHz base frequency and an all-core turbo frequency of up to 3.9 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
These instances support the NVMe protocol. For more information, see Overview of the NVMe protocol.
-
Supported cloud disk types: elastic ephemeral disks, ESSDs, ESSD AutoPLs, and zone-redundant ESSDs. For more information about cloud disks, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Delivers ultra-high network performance with a packet forwarding rate of 30 million PPS.
-
Supports ERI (Elastic RDMA Interface), which enables RDMA passthrough acceleration in a VPC network. ERI increases bandwidth to 160 Gbit/s and is ideal for CV and traditional model training workloads.
NoteTo use ERI, see Enable eRDMA on enterprise-level instances.
-
The following table describes the instance types and specifications of the ebmgn8is instance family.
|
Instance type |
vCPUs |
Memory (GiB) |
GPU |
GPU memory |
Base bandwidth (Gbit/s) |
Packet forwarding rate (PPS) |
Private IPv4 addresses |
IPv6 addresses |
Queue pairs (primary/secondary ENI) |
ENIs |
Attachable data disks |
Cloud disk bandwidth (GB/s) |
|
ecs.ebmgn8is.32xlarge |
128 |
1024 |
L20 × 8 |
48 GB × 8 |
160 (80 × 2) |
30,000,000 |
30 |
30 |
64/16 |
32 |
31 |
6 |
The image boot mode for ebmgn8is instance types must be UEFI. If you use a custom image, you must ensure that it supports UEFI and that its boot mode attribute is set to UEFI. For more information, see Instance boot modes.
Ebmgn7e instance family
-
Instance family description: The ebmgn7e is an instance family built on the X-Dragon architecture. It combines powerful hardware performance with software-defined flexibility and elasticity.
-
Use cases:
-
Deep learning training and development.
-
HPC-accelerated computing and simulations.
ImportantWhen you run AI training workloads with high communication loads, such as those involving Transformer models, you must enable NVLink for GPU-to-GPU communication. Otherwise, large-scale data transfers over the PCIe link may cause unexpected failures and data corruption. If you are unsure about the communication link topology for your training workload, submit a ticket for support from Alibaba Cloud technical experts.
-
-
Compute:
-
Processor: Features an Intel® Xeon® Scalable processor with a base frequency of 2.9 GHz, an all-core turbo frequency of 3.5 GHz, and support for PCIe 4.0.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disk, ESSD AutoPL cloud disk, and ESSD Zone-redundant cloud disk. For more information about cloud disks, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Achieves a packet forwarding rate of up to 24 million PPS.
-
The following table lists the instance types and specifications for the ebmgn7e instance family.
|
Instance type |
vCPU |
Memory (GiB) |
GPU memory |
Network bandwidth (Gbit/s) |
Network PPS |
Multi-queue (primary/secondary) |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
|
ecs.ebmgn7e.32xlarge |
128 |
1024 |
80 GB × 8 |
64 |
24 million |
32/12 |
32 |
10 |
1 |
After starting an ebmgn7e instance, you must check if the Multi-Instance GPU (MIG) feature is enabled or disabled because its default state is not guaranteed. For more information about MIG, see NVIDIA Multi-Instance GPU User Guide.
The following table describes whether ebmgn7e instances support the MIG feature.
|
Instance type |
MIG feature support |
Description |
|
ecs.ebmgn7e.32xlarge |
Yes |
You can enable the MIG feature on ebmgn7e bare metal instances. |
GPU-accelerated ebmgn7i instance family
-
Introduction: The ebmgn7i is an instance family built on the X-Dragon architecture. These instances provide software-defined hardware computing, delivering both elasticity and powerful performance.
-
Use cases:
-
Equipped with high-performance CPUs, memory, and GPUs, these instances can handle high-volume concurrent AI inference workloads, making them ideal for image, speech, and behavior recognition.
-
RTX support, combined with high-frequency CPUs, delivers high-performance 3D graphics virtualization ideal for intensive graphics processing workloads like remote graphic design and cloud gaming.
-
RTX support, combined with high network and cloud disk bandwidth, makes these instances ideal for building high-performance rendering farms.
-
With multiple GPUs and high network bandwidth, these instances support small-scale deep learning training workloads.
-
-
Compute:
-
Powered by NVIDIA A10 GPUs:
-
Innovative Ampere architecture.
-
Supports common acceleration features such as vGPU, RTX, and TensorRT.
-
-
Processor: Intel® Xeon® Scalable processors (Ice Lake) with a 2.9 GHz base frequency and a 3.5 GHz all-core turbo frequency.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD, ESSD AutoPL, and ESSD Zone-redundant. For more information on block storage, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Delivers ultra-high network performance with up to 24 million network PPS.
-
The following table lists the instance types and specifications for the ebmgn7i instance family.
|
Instance type |
vCPU |
Memory (GiB) |
GPU |
GPU memory |
Network bandwidth (Gbit/s) |
Network PPS |
Multi-queue |
Elastic network interfaces |
Private IPv4 addresses |
IPv6 addresses |
|
ecs.ebmgn7i.32xlarge |
128 |
768 |
NVIDIA A10 × 4 |
24 GB × 4 |
64 |
24 million |
32 |
32 |
10 |
1 |
Gpu-accelerated Elastic Bare Metal Server instance family ebmgn7
-
Introduction: Based on the X-Dragon Architecture, the ebmgn7 instance type family features software-defined hardware, offering both flexibility and powerful computing performance.
-
Use cases:
-
Deep learning training workloads, such as image classification, autonomous driving, and speech recognition.
-
GPU-intensive scientific computing, such as computational fluid dynamics (CFD), computational finance, molecular dynamics, and environmental analysis.
-
-
Compute:
-
Processor: 2.5 GHz Intel® Xeon® Platinum 8269CY (Cascade Lake) processors.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD, ESSD AutoPL, and ESSD Zone-redundant. For more information about cloud disks, see the Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Network performance scales with the instance type.
-
The following table lists the instance types and specifications for the ebmgn7 instance type family.
|
Instance type |
vCPU |
Memory (GiB) |
GPU memory |
Baseline bandwidth (Gbit/s) |
PPS |
Multi-queue |
ENIs |
IPv4s per ENI |
IPv6s per ENI |
|
ecs.ebmgn7.26xlarge |
104 |
768 |
40 GB × 8 |
30 |
18,000,000 |
16 |
15 |
10 |
1 |
Ebmgn6e GPU-accelerated instance family
-
Introduction:
-
The ebmgn6e instance family, built on the X-Dragon architecture, delivers software-defined hardware computing that combines flexibility, elasticity, and powerful performance.
-
These instances are powered by NVIDIA V100 (32 GB NVLink) GPU compute cards.
-
The GPU accelerator is the V100 (SXM2 package), which has the following features:
-
Innovative Volta architecture.
-
32 GB of HBM2 gpu memory per GPU (with a gpu memory bandwidth of 900 GB/s).
-
5,120 CUDA Cores per GPU.
-
640 Tensor Cores per GPU.
-
Each GPU supports six bidirectional NVLink links. Each unidirectional link provides 25 GB/s of bandwidth, totaling 300 GB/s (6 × 25 × 2).
-
-
-
Use cases:
-
Deep learning, such as training and inference for AI algorithms like image classification, autonomous driving, and speech recognition.
-
Scientific computing, such as computational fluid dynamics, computational finance, molecular dynamics, and environmental analysis.
-
-
Compute:
-
vCPU-to-memory ratio of 1:8.
-
Processors: Intel® Xeon® Platinum 8163 (Skylake) with a base frequency of 2.5 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSDs, ESSD AutoPLs, Zone-redundant ESSDs, SSD cloud disks, and ultra disks. For more information, see Block storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Network performance scales with the instance type.
-
The following table lists the instance types and specifications for the ebmgn6e instance family.
|
Instance type |
vCPU |
Memory (GiB) |
GPU |
GPU memory |
Baseline bandwidth (Gbit/s) |
PPS |
Multi-queue |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
|
ecs.ebmgn6e.24xlarge |
96 |
768 |
NVIDIA V100 × 8 |
32 GB × 8 |
32 |
4,800,000 |
16 |
15 |
10 |
1 |
Ebmgn6v instance family
-
Instance family description:
-
The ebmgn6v instance family is built on the X-Dragon architecture. These instances offer high-performance, software-defined hardware computing with cloud elasticity.
-
Powered by NVIDIA V100 GPUs.
-
The V100 (SXM2 package) GPU accelerator features the following:
-
Innovative Volta architecture
-
16 GB of HBM2 GPU memory per GPU, with a memory bandwidth of 900 GB/s
-
5,120 CUDA Cores per GPU
-
640 Tensor Cores per GPU
-
Each GPU supports six NVLink bidirectional links, with a unidirectional bandwidth of 25 GB/s per link, for a total bandwidth of 300 GB/s (6 × 25 × 2 = 300 GB/s)
-
-
-
Use cases:
-
Deep learning training and inference workloads, such as image classification, autonomous driving, and speech recognition
-
Scientific computing workloads, such as computational fluid dynamics, computational finance, molecular dynamics, and environmental analysis
-
-
Compute:
-
vCPU-to-memory ratio of 1:4.
-
Processor: Intel ® Xeon ® Platinum 8163 (Skylake) with a 2.5 GHz base frequency.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD, ESSD AutoPL, Zone-redundant ESSD, standard SSD, and Ultra Disk. For more information, see Block Storage overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Network performance scales with the instance type.
-
The following table lists the instance types and specifications for the ebmgn6v instance family.
|
Instance type |
vCPU |
Memory (GiB) |
GPU |
GPU memory |
Network bandwidth (Gbit/s) |
Network PPS |
Multi-queue |
ENIs |
IPv4s per ENI |
IPv6s per ENI |
|
ecs.ebmgn6v.24xlarge |
96 |
384 |
NVIDIA V100 × 8 |
16 GB × 8 |
30 |
4,500,000 |
8 |
32 |
10 |
1 |
GPU compute instance family ebmgn6i
-
Introduction
-
ebmgn6i is an instance type family that is built on the X-Dragon Architecture, delivers software-defined hardware computing, and combines flexible elasticity with powerful performance.
-
These instances are powered by NVIDIA T4 GPU accelerators with the following features:
-
Innovative Turing architecture
-
16 GB of GPU memory per GPU with a memory bandwidth of 320 GB/s
-
2,560 CUDA Cores per GPU
-
Up to 320 Turing Tensor Cores per GPU
-
Variable-precision Tensor Cores deliver 65 TFLOPS of FP16 performance, 130 INT8 TOPS, and 260 INT4 TOPS.
-
-
-
Use cases
-
AI (DL/ML) inference, including applications such as computer vision, speech recognition, speech synthesis, NLP, machine translation, and recommendation systems.
-
Real-time cloud rendering for cloud gaming.
-
Real-time cloud rendering for AR/VR.
-
Compute-intensive graphics workloads or graphics workstations.
-
GPU-accelerated databases.
-
High-performance computing.
-
-
Compute
-
vCPU-to-memory ratio of 1:4.
-
Processor: Intel® Xeon® Platinum 8163 (Skylake) with a base frequency of 2.5 GHz.
-
-
Storage
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disk, ESSD AutoPL cloud disk, ESSD Zone-redundant cloud disk, SSD cloud disk, and Ultra Disk. For more information, see Block Storage Overview.
-
-
Network
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Network performance scales with the instance type.
-
The following table lists the instance types and specifications for the ebmgn6i instance family.
|
Instance type |
vCPU |
Memory (GiB) |
GPU |
GPU memory |
Network bandwidth (Gbit/s) |
Forwarding rate (PPS) |
Multiqueue |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
|
ecs.ebmgn6i.24xlarge |
96 |
384 |
NVIDIA T4 × 4 |
16 GB × 4 |
30 |
4.5 million |
8 |
32 |
10 |
1 |
Ebmg5s instance family
-
Instance family overview: Offers dedicated hardware resources and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Workloads that are compatible with third-party hypervisors for hybrid cloud and multi-cloud deployment.
-
Containers such as Docker, Clear Container, and Pouch.
-
Resource-intensive database applications for medium to large enterprises.
-
Video encoding.
-
-
Compute:
-
vCPU-to-memory ratio of 1:4.
-
Processor: Intel® Xeon® Platinum 8163 (Skylake) with a base frequency of 2.5 GHz and an all-core turbo frequency of 2.7 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disks: ESSD cloud disks, ESSD AutoPL cloud disks, ESSD zone-redundant cloud disks, SSD cloud disks, and ultra disks. For more information, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Packet forwarding rates up to 4.5 million PPS.
-
The following table lists the instance types and specifications for the ebmg5s instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
Private IPv4 addresses |
IPv6 addresses |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmg5s.24xlarge |
96 |
384 |
32 |
4.5 million |
1.8 million |
32 |
10 |
1 |
200,000 |
16 |
ebmg5: General-purpose bare metal instance family
-
Description: Provides dedicated hardware resources and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Resource-intensive database workloads for medium and large enterprises.
-
Video encoding.
-
-
Compute:
-
vCPU-to-memory ratio of 1:4.
-
Processor: Intel® Xeon® Platinum 8163 (Skylake) with a base frequency of 2.5 GHz and an all-core turbo frequency of 2.7 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: SSD cloud disks and ultra cloud disks. For more information about cloud disks, see Block storage overview.
-
-
Network:
-
Supports IPv4 only.
-
High network performance, up to 4 million network PPS.
-
The following table lists the instance types and specifications of the ebmg5 instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline bandwidth (Gbit/s) |
Network PPS |
Elastic network interfaces |
IPv4s per ENI |
|
ecs.ebmg5.24xlarge |
96 |
384 |
10 |
4.5 million |
32 |
10 |
Ebmc5s instance family
-
Instance family description: Dedicated hardware resources and physical isolation.
-
Use cases:
-
High packet-rate networking workloads, such as live comment overlays and telecom service forwarding.
-
Workloads that require direct access to physical resources or hardware-dependent licensing.
-
Running third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
Video encoding/decoding and rendering.
-
-
Compute:
-
vCPU-to-memory ratio of 1:2.
-
Processor: Intel® Xeon® Platinum 8163 (Skylake) with a base frequency of 2.5 GHz and an all-core turbo of 2.7 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD cloud disks, ESSD AutoPL cloud disks, Zone-Redundant ESSD cloud disks, SSD cloud disks, and Ultra Disks. For more information, see Block Storage Overview.
-
-
Network:
-
These instances support IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.
-
Achieves up to 4,500,000 network PPS.
-
The following table lists the instance types and specifications for the ebmc5s instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Baseline network bandwidth (Gbit/s) |
Network PPS |
Connections |
Elastic network interfaces |
Private IPv4 addresses |
IPv6 addresses |
Baseline disk IOPS |
Baseline disk bandwidth (Gbit/s) |
|
ecs.ebmc5s.24xlarge |
96 |
192 |
32 |
4,500,000 |
1,800,000 |
32 |
10 |
1 |
200,000 |
16 |
Memory-optimized and network-enhanced ebmr5s family
-
Instance family description: Provides dedicated hardware resources and physical isolation.
-
Use cases:
-
Workloads that require direct access to physical resources or hardware-bound licenses.
-
Compatibility with third-party hypervisors for hybrid cloud and multi-cloud deployments.
-
Containers, such as Docker, Clear Container, and Pouch.
-
High-performance databases and in-memory databases.
-
Data analytics and mining, and distributed in-memory caches.
-
Hadoop and Spark clusters, and other enterprise applications with high memory requirements.
-
-
Compute:
-
vCPU-to-memory ratio of 1:8.
-
Processor: Intel® Xeon® Platinum 8163 (Skylake) with a base frequency of 2.5 GHz and an all-core turbo frequency of 2.7 GHz.
-
-
Storage:
-
These are I/O optimized instances.
-
Supported cloud disk types: ESSD, ESSD AutoPL cloud disk, ESSD Zone-redundant cloud disk, SSD cloud disk, and ultra disk. For more information about block storage, see Block storage overview.
-
-
Network:
-
Supports IPv4 only.
-
Achieves a packet forwarding rate of up to 4.5 million PPS.
-
This table lists specifications for the ebmr5s instance family.
|
Instance type |
vCPU |
Memory (GiB) |
Network bandwidth (Gbit/s) |
Network PPS |
Connections |
ENIs |
Private IPv4s per ENI |
Disk IOPS |
Disk bandwidth (Gbit/s) |
|
ecs.ebmr5s.24xlarge |
96 |
768 |
32 |
4,500,000 |
1,800,000 |
32 |
10 |
200,000 |
16 |
Billing methods
EBM supports both pay-as-you-go and subscription billing methods. To learn how these billing methods differ, see Billing Methods Overview.