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Elastic Compute Service:Retired ECS instance types

Last Updated:Apr 28, 2025

This document covers retired instance types on both of Alibaba Cloud's websites. On the China site (aliyun.com), all instance types listed here are retired. On the international site (alibabacloud.com), the sn1, sn2, n1, n2, and e3 instance types remain available for purchase.

Instance type changes

If you are using a retired instance type, we recommend that you change the instance type to another instance type that is available for purchase. For information about the supported changes between instance types, see Instance type changes.

scchfc6, compute-optimized SCC instance family with high clock speeds

  • Introduction: This instance family provides all features of ECS Bare Metal Instance. For more information, see Overview of ECS Bare Metal Instance families.

  • Supported scenarios:

    • Large-scale machine learning training

    • Large-scale high-performance scientific computing and simulations

    • Large-scale data analytics, batch processing, and video encoding

  • Compute:

    • Offers a CPU-to-memory ratio of 1:2.4.

    • Uses 3.1 GHz Intel® Xeon® Platinum 8269 (Cascade Lake) processors that deliver an all-core turbo frequency of 3.5 GHz.

  • Storage:

  • Network:

    • Supports IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.

    • Supports both RDMA over Converged Ethernet (RoCE) networks and virtual private clouds (VPCs). RoCE networks are dedicated to Remote Direct Memory Access (RDMA) communication.

scchfc6 instance types

Instance type

vCPUs

Physical cores

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

RoCE network bandwidth (Gbit/s)

ENIs

ecs.scchfc6.20xlarge

80

40

192.0

30

6,000,000

50

32

Note

ecs.scchfc6.20xlarge provides 80 logical processors on 40 physical cores.

scchfg6, general-purpose SCC instance family with high clock speeds

  • Introduction: This instance family provides all features of ECS Bare Metal Instance. For more information, see Overview of ECS Bare Metal Instance families.

  • Supported scenarios:

    • Large-scale machine learning training

    • Large-scale high-performance scientific computing and simulations

    • Large-scale data analytics, batch processing, and video encoding

  • Compute:

    • Offers a CPU-to-memory ratio of 1:4.8.

    • Uses 3.1 GHz Intel® Xeon® Platinum 8269 (Cascade Lake) processors that deliver an all-core turbo frequency of 3.5 GHz.

  • Storage:

  • Network:

    • Supports IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.

    • Supports both RoCE networks and VPCs. RoCE networks are dedicated to RDMA communication.

scchfg6 instance types

Instance type

vCPUs

Physical cores

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

RoCE network bandwidth (Gbit/s)

ENIs

ecs.scchfg6.20xlarge

80

40

384.0

30

6,000,000

50

32

Note

ecs.scchfg6.20xlarge provides 80 logical processors on 40 physical cores.

scchfr6, memory-optimized SCC instance family with high clock speeds

  • Introduction: This instance family provides all features of ECS Bare Metal Instance. For more information, see Overview of ECS Bare Metal Instance families.

  • Supported scenarios:

    • Large-scale machine learning training

    • Large-scale high-performance scientific computing and simulations

    • Large-scale data analytics, batch processing, and video encoding

  • Compute:

    • Offers a CPU-to-memory ratio of 1:9.6.

    • Uses 3.1 GHz Intel® Xeon® Platinum 8269 (Cascade Lake) processors that deliver an all-core turbo frequency of 3.5 GHz.

  • Storage:

  • Network:

    • Supports IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.

    • Supports both RoCE networks and VPCs. RoCE networks are dedicated to RDMA communication.

scchfr6 instance types

Instance type

vCPUs

Physical cores

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

RoCE network bandwidth (Gbit/s)

ENIs

ecs.scchfr6.20xlarge

80

40

768.0

30

6,000,000

50

32

Note

ecs.scchfr6.20xlarge provides 80 logical processors on 40 physical cores.

ebmgn6ia, GPU-accelerated compute-optimized ECS Bare Metal Instance family

  • Introduction:

    • This instance family uses the third-generation SHENLONG architecture and fast path acceleration on chips to provide predictable and consistent ultra-high computing, storage, and network performance.

    • This instance family uses NVIDIA T4 GPUs to offer GPU acceleration capabilities for graphics and AI applications and adopts container technology to start at least 60 virtual Android devices and provide hardware-accelerated video transcoding.

  • Supported scenarios:

    • Remote application services based on Android, such as always-on cloud-based services, cloud-based mobile games, cloud-based mobile phones, and Android service crawlers.

  • Compute:

    • Offers a CPU-to-memory ratio of 1:3.

    • Uses 2.8 GHz Ampere® Altra® Arm-based processors that deliver a turbo frequency of 3.0 GHz and provides high performance and high compatibility with applications for Android servers.

  • Storage:

  • Network:

    • Supports IPv4 and IPv6. For information about IPv6 communication, see IPv6 communication.

ebmgn6ia instance types

Instance type

vCPUs

Memory (GiB)

GPUs

GPU memory

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

Private IPv4 addresses per ENI

IPv6 addresses per ENI

ecs.ebmgn6ia.20xlarge

80

256

NVIDIA T4 * 2

16GB * 2

32

24,000,000

32

15

10

1

Note

Ampere® Altra® processors have specific requirements for operating system kernels. Instances of the preceding instance type can use Alibaba Cloud Linux 3 images and CentOS 8.4 or later images. We recommend that you use Alibaba Cloud Linux 3 images on the instances. If you want to use a different operating system distribution, patch the kernel of an instance that runs an operating system of that distribution, create a custom image from the instance, and then use the custom image to create instances of the instance type. For information about kernel patches, visit Ampere Altra (TM) Linux Kernel Porting Guide.

g5se, storage-enhanced instance family

Features:

  • g5se instances can be created only on dedicated hosts.

    Note

    For information about instances of other instance types that can be created on dedicated hosts, see Dedicated host types.

  • A single g5se instance to which ESSDs are attached can deliver up to 1,000,000 random IOPS and up to 32 Gbit/s of sequential read/write throughput.

  • Compute:

    • Offers a CPU-to-memory ratio of 1:4.

    • Uses 2.5 GHz Intel® Xeon® Platinum 8163 (Skylake) processors to provide consistent computing performance.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports ESSDs, standard SSDs, and ultra disks.

    • Provides high storage I/O performance based on large computing capacity.

      Note

      For information about the storage I/O performance of the next-generation, enterprise-level instance families, see Storage I/O performance.

  • Network:

    • Supports IPv6.

  • Supported scenarios:

    • I/O-intensive scenarios such as large and medium-sized online transaction processing (OLTP) core databases

    • Large and medium-sized NoSQL databases

    • Search and real-time log analytics

    • Traditional large enterprise-level commercial software such as SAP

g5se instance types

Instance type

vCPUs

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

Private IPv4 addresses per ENI

Disk baseline IOPS

Disk baseline bandwidth (Gbit/s)

ecs.g5se.large

2

8.0

1.0

300,000

2

2

6

30,000

1.5

ecs.g5se.xlarge

4

16.0

1.5

500,000

2

3

6

60,000

2

ecs.g5se.2xlarge

8

32.0

2.0

800,000

2

4

8

85,000

3

ecs.g5se.4xlarge

16

64.0

4.0

1,000,000

4

8

10

150,000

5

ecs.g5se.8xlarge

32

128.0

7.0

2,000,000

8

8

10

300,000

10

ecs.g5se.16xlarge

64

256.0

14.0

3,000,000

16

7

10

750,000

25

ecs.g5se.18xlarge

70

336.0

16.0

4,000,000

16

15

10

1,000,000

32

sn2, general-purpose instance family

Features:

  • Offers a CPU-to-memory ratio of 1:4.

  • Uses 2.5 GHz Intel Xeon E5-2682 v4 (Broadwell) or E5-2680 v3 (Haswell) or Platinum 8163 (Skylake) or 8269CY (Cascade Lake) processors to provide consistent computing performance.

    Note

    Instances of this instance family may be deployed on different server platforms. If your business requires all instances to be deployed on the same server platform, we recommend that you use the g6, g6e, or g7 instance family.

  • Provides high network performance based on large computing capacity.

  • Supported scenarios:

    • Enterprise-level applications of various types and sizes

    • Small and medium-sized database systems, caches, and search clusters

    • Data analytics and computing

sn2 instance types

Instance type

vCPUs

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

ecs.sn2.medium

2

8.0

0.5

100,000

1

2

ecs.sn2.large

4

16.0

0.8

200,000

1

3

ecs.sn2.xlarge

8

32.0

1.5

400,000

1

4

ecs.sn2.3xlarge

16

64.0

3.0

500,000

2

8

ecs.sn2.7xlarge

32

128.0

6.0

800,000

3

8

ecs.sn2.13xlarge

56

224.0

10.0

1,200,000

4

8

sn1, compute-optimized instance family

Features:

  • Offers a CPU-to-memory ratio of 1:2.

  • Uses 2.5 GHz Intel Xeon E5-2682 v4 (Broadwell) or E5-2680 v3 (Haswell) or Platinum 8163 (Skylake) or 8269CY (Cascade Lake) processors to provide consistent computing performance.

    Note

    Instances of this instance family may be deployed on different server platforms. If your business requires all instances to be deployed on the same server platform, we recommend that you use the c6, c6e, or c7 instance family.

  • Provides high network performance based on large computing capacity.

  • Supported scenarios:

    • Web frontend servers

    • Frontend servers of massively multiplayer online (MMO) games

    • Data analytics, batch processing, and video encoding

    • High-performance scientific and engineering applications

sn1 instance types

Instance type

vCPUs

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

ecs.sn1.medium

2

4.0

0.5

100,000

1

2

ecs.sn1.large

4

8.0

0.8

200,000

1

3

ecs.sn1.xlarge

8

16.0

1.5

400,000

1

4

ecs.sn1.3xlarge

16

32.0

3.0

500,000

2

8

ecs.sn1.7xlarge

32

64.0

6.0

800,000

3

8

c4, ce4, and cm4, compute-optimized instance families with high clock speeds

Features:

  • Use 3.2 GHz Intel Xeon E5-2667 v4 (Broadwell) processors.

  • Offer consistent computing performance.

  • Are instance families in which all instances are I/O optimized.

  • Support standard SSDs and ultra disks.

  • Provide high network performance based on large computing capacity.

  • Supported scenarios:

    • High-performance web frontend servers

    • High-performance scientific and engineering applications

    • MMO games and video encoding

c4 instance types

Instance type

vCPUs

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

ecs.c4.xlarge

4

8.0

1.5

200,000

1

3

ecs.c4.2xlarge

8

16.0

3.0

400,000

1

4

ecs.c4.3xlarge

12

24.0

4.5

600,000

2

6

ecs.c4.4xlarge

16

32.0

6.0

800,000

2

8

ce4 instance types

Instance type

vCPUs

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

ecs.ce4.xlarge

4

32.0

1.5

200,000

1

3

ecs.ce4.2xlarge

8

64.0

3.0

400,000

1

3

cm4 instance types

Instance type

vCPUs

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

ecs.cm4.xlarge

4

16.0

1.5

200,000

1

3

ecs.cm4.2xlarge

8

32.0

3.0

400,000

1

4

ecs.cm4.3xlarge

12

48.0

4.5

600,000

2

6

ecs.cm4.4xlarge

16

64.0

6.0

800,000

2

8

ecs.cm4.6xlarge

24

96.0

10.0

1,200,000

4

8

f3, FPGA-accelerated compute-optimized instance family

Features:

  • This instance family uses Xilinx 16 nm Virtex UltraScale+ VU9P FPGAs.

  • Compute:

    • Offers a CPU-to-memory ratio of 1:4.

    • Uses 2.5 GHz Intel® Xeon® Platinum 8163 (Skylake) processors.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports standard SSDs and ultra disks.

  • Network:

    Provides high network performance based on large computing capacity.

  • Supported scenarios:

    • Deep learning inference

    • Genomics research

    • Database acceleration

    • Image transcoding such as conversion of JPEG images to WebP images

    • Real-time video processing such as H.265 video compression

f3 instance types

Instance type

vCPUs

Memory (GiB)

FPGAs

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

Private IPv4 addresses per ENI

ecs.f3-c4f1.xlarge

4

16.0

1 * Xilinx VU9P

1.5

30

2

3

10

ecs.f3-c8f1.2xlarge

8

32.0

1 * Xilinx VU9P

2.5

50

4

4

10

ecs.f3-c16f1.4xlarge

16

64.0

1 * Xilinx VU9P

5.0

100

4

8

20

ecs.f3-c16f1.8xlarge

32

128.0

2 * Xilinx VU9P

10.0

200

8

8

20

ecs.f3-c16f1.16xlarge

64

256.0

4 * Xilinx VU9P

20.0

250

16

8

20

vgn6i, vGPU-accelerated instance family

Features:

  • Compute:

    • Uses NVIDIA T4 GPUs.

    • Uses vGPUs.

      • Supports the 1/4 and 1/2 compute capacity of NVIDIA Tesla T4 GPUs.

      • Supports 4 GB and 8 GB of GPU memory.

    • Offers a CPU-to-memory ratio of 1:5.

    • Uses 2.5 GHz Intel® Xeon® Platinum 8163 (Skylake) processors.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports standard SSDs and ultra disks.

  • Network:

    • Supports IPv6.

    • Provides high network performance based on large computing capacity.

  • Supported scenarios:

    • Real-time rendering for cloud gaming

    • Real-time rendering for Augmented Reality (AR) and Virtual Reality (VR) applications

    • AI (deep learning and machine learning) inference for elastic Internet service deployment

    • Educational environment of deep learning

    • Modeling experiment environment of deep learning

vgn6i instance types

Instance type

vCPUs

Memory (GiB)

GPU

GPU memory

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues (primary NIC/secondary NIC)

ENIs

Private IPv4 addresses per ENI

ecs.vgn6i-m4.xlarge

4

23

NVIDIA T4 * 1/4

16GB * 1/4

2

500,000

4/2

3

10

ecs.vgn6i-m8.2xlarge

10

46

NVIDIA T4 * 1/2

16GB * 1/2

4

800,000

8/2

4

10

vgn5i, vGPU-accelerated instance family

Features:

  • Compute:

    • Uses NVIDIA P4 GPUs.

    • Uses vGPUs.

      • Supports the 1/8, 1/4, 1/2, and 1/1 compute capacity of NVIDIA Tesla P4 GPUs.

      • Supports 1 GB, 2 GB, 4 GB, and 8 GB of GPU memory.

    • Offers a CPU-to-memory ratio of 1:3.

    • Uses 2.5 GHz Intel® Xeon® E5-2682 v4 (Broadwell) processors.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports standard SSDs and ultra disks.

  • Network:

    • Supports IPv6.

    • Provides high network performance based on large computing capacity.

  • Supported scenarios:

    • Real-time rendering for cloud gaming

    • Real-time rendering for AR and VR applications

    • AI (deep learning and machine learning) inference for elastic Internet service deployment

    • Educational environment of deep learning

    • Modeling experiment environment of deep learning

vgn5i instance types

Instance type

vCPUs

Memory (GiB)

GPUs

GPU memory

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

Private IPv4 addresses per ENI

ecs.vgn5i-m1.large

2

6

NVIDIA P4 * 1/8

8GB * 1/8

1

300,000

2

2

6

ecs.vgn5i-m2.xlarge

4

12

NVIDIA P4 * 1/4

8GB * 1/4

2

500,000

2

3

10

ecs.vgn5i-m4.2xlarge

8

24

NVIDIA P4 * 1/2

8GB * 1/2

3

800,000

2

4

10

ecs.vgn5i-m8.4xlarge

16

48

NVIDIA P4 * 1

8GB * 1

5

1,000,000

4

5

20

Note

The GPUs column in the preceding table indicates the GPU model and GPU slicing information for each instance type. Each GPU can be sliced into multiple GPU partitions, and each GPU partition can be allocated as a vGPU to an instance. Example:

NVIDIA P4 * 1/8. NVIDIA P4 is the GPU model. 1/8 indicates that a GPU is sliced into eight GPU partitions and each GPU partition can be allocated as a vGPU to an instance.

gn4, GPU-accelerated compute-optimized instance family

Features:

  • Uses NVIDIA M40 GPUs.

  • Compute:

    • Offers multiple CPU-to-memory ratios.

    • Uses 2.5 GHz Intel® Xeon® E5-2682 v4 (Broadwell) processors.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports standard SSDs and ultra disks.

  • Network:

    • Provides high network performance based on large computing capacity.

  • Supported scenarios:

    • Deep learning

    • Scientific computing applications, such as computational fluid dynamics, computational finance, genomics, and environmental analytics

    • Server-side GPU compute workloads such as high-performance computing, rendering, and multi-media encoding and decoding

gn4 instance types

Instance type

vCPUs

Memory (GiB)

GPUs

GPU memory

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

Private IPv4 addresses per ENI

ecs.gn4-c4g1.xlarge

4

30.0

NVIDIA M40 * 1

12GB * 1

3.0

300,000

1

3

10

ecs.gn4-c8g1.2xlarge

8

30.0

NVIDIA M40 * 1

12GB * 1

3.0

400,000

1

4

10

ecs.gn4.8xlarge

32

48.0

NVIDIA M40 * 1

12GB * 1

6.0

800,000

3

8

20

ecs.gn4-c4g1.2xlarge

8

60.0

NVIDIA M40 * 2

12GB * 2

5.0

500,000

1

4

10

ecs.gn4-c8g1.4xlarge

16

60.0

NVIDIA M40 * 2

12GB * 2

5.0

500,000

1

8

20

ecs.gn4.14xlarge

56

96.0

NVIDIA M40 * 2

12GB * 2

10.0

1,200,000

4

8

20

ga1, GPU-accelerated compute-optimized instance family

Features:

  • Uses AMD S7150 GPUs.

  • Supports high-performance local Non-Volatile Memory Express (NVMe) SSDs.

  • Compute:

    • Offers a CPU-to-memory ratio of 1:2.5.

    • Uses 2.5 GHz Intel® Xeon® E5-2682 v4 (Broadwell) processors.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports standard SSDs and ultra disks.

  • Network:

    • Provides high network performance based on large computing capacity.

  • Supported scenarios:

    • Rendering and multi-media encoding and decoding

    • Machine learning, high-performance computing, and high-performance databases

    • Server-side workloads that require powerful parallel floating-point computing capacity

ga1 instance types

Instance type

vCPUs

Memory (GiB)

Local storage (GiB)

GPUs

GPU memory

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

NIC queues

ENIs

Private IPv4 addresses per ENI

ecs.ga1.xlarge

4

10.0

1 * 87

AMD S7150 * 1/4

8GB * 1/4

1.0

200,000

1

3

10

ecs.ga1.2xlarge

8

20.0

1 * 175

AMD S7150 * 1/2

8GB * 1/2

1.5

300,000

1

4

10

ecs.ga1.4xlarge

16

40.0

1 * 350

AMD S7150 * 1

8GB * 1

3.0

500,000

2

8

20

ecs.ga1.8xlarge

32

80.0

1 * 700

AMD S7150 * 2

8GB * 2

6.0

800,000

3

8

20

ecs.ga1.14xlarge

56

160.0

1 * 1400

AMD S7150 * 4

8GB * 4

10.0

1,200,000

4

8

20

ebmc4, compute-optimized ECS Bare Metal Instance family

Features:

  • Provides dedicated hardware resources and physical isolation.

  • Compute:

    • Offers a CPU-to-memory ratio of 1:2.

    • Uses 2.5 GHz Intel® Xeon® E5-2682 v4 (Broadwell) processors that deliver a turbo frequency of 3.0 GHz.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports standard SSDs and ultra disks.

  • Network:

    • Supports only VPCs.

    • Provides high network performance with a packet forwarding rate of 4,000,000 pps.

  • Supported scenarios:

    • Workloads that require direct access to physical resources or that require a license to be bound to the hardware

    • Scenarios that require compatibility with third-party hypervisors to implement hybrid-cloud and multi-cloud deployments

    • Containers such as Docker, Clear Containers, and Pouch

    • Enterprise-level applications such as large and medium-sized databases

    • Video encoding

ebmc4 instance types

Instance type

vCPUs

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

ENIs

Private IPv4 addresses per ENI

ecs.ebmc4.8xlarge

32

64

10

4,000,000

12

10

ebmhfg5, ECS Bare Metal Instance family with high clock speeds

Features:

  • Provides dedicated hardware resources and physical isolation.

  • Supports encrypted computing based on Intel® Software Guard Extensions (SGX).

  • Has failover disabled by default.

    You can call the ModifyInstanceMaintenanceAttributes operation to modify the maintenance action and set the ActionOnMaintenance parameter to AutoRedeploy to enable failover.

  • Offers a CPU-to-memory ratio of 1:4.

  • Uses 3.7 GHz Intel® Xeon® E3-1240v6 (Skylake) processors that deliver a turbo frequency of 4.1 GHz.

  • Is an instance family in which all instances are I/O optimized.

  • Supports standard SSDs and ultra disks.

  • Supports only VPCs.

  • Provides high network performance with a packet forwarding rate of 2,000,000 pps.

  • Supported scenarios:

    • Workloads that require direct access to physical resources or that require a license to be bound to the hardware

    • Gaming and finance applications that require high performance

    • High-performance web servers

    • Enterprise-level applications such as high-performance databases

ebmhfg5 instance types

Instance type

vCPUs

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

ENIs

Private IPv4 addresses per ENI

ecs.ebmhfg5.2xlarge

8

32

6

2,000,000

6

8

sccgn6, GPU-accelerated compute-optimized SCC instance family

Features:

  • This instance family supports all features of ECS Bare Metal Instance. For more information, see ECS Bare Metal Instance families.

  • Compute:

    • Uses NVIDIA V100 GPUs (SXM2-based) that have the following features:

      • Innovative Volta architecture

      • 16 GB of HBM2 GPU memory

      • CUDA Cores 5120

      • Tensor Cores 640

      • GPU memory bandwidth of up to 900 GB/s

      • Support for up to six bidirectional NVLink connections, each of which has a unidirectional bandwidth of 25 GB/s for a total bandwidth of 300 GB/s

    • Offers a CPU-to-memory ratio of 1:4.

    • Uses 2.5 GHz Intel® Xeon® Platinum 8163 (Skylake) processors to provide consistent computing performance.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports ESSDs, ESSD AutoPL disks, standard SSDs, and ultra disks.

    • Supports high-performance Cloud Paralleled File System (CPFS).

  • Network:

    • Supports IPv6.

    • Supports VPCs.

    • Supports RoCE v2 networks, which are dedicated to low-latency RDMA communication.

  • Supported scenarios:

    • Ultra-large-scale training for machine learning on distributed GPU clusters

    • Large-scale high-performance scientific computing and simulations

    • Large-scale data analytics, batch processing, and video encoding

sccgn6 instance types

Instance type

vCPUs

Memory (GiB)

GPUs

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

RoCE network bandwidth (Gbit/s)

NIC queues

ENIs

Private IPv4 addresses per ENI

ecs.sccgn6.24xlarge

96

384.0

NVIDIA V100 * 8

30

4,500,000

50

8

32

10

sccgn6e, GPU-accelerated compute-optimized SCC instance family

Features:

  • This instance family supports all features of ECS Bare Metal Instance. For more information, see ECS Bare Metal Instance families.

  • Compute:

    • Uses GPUs that have the following features:

      • Innovative Volta architecture

      • 32 GB of HBM2 GPU memory

      • CUDA Cores 5120

      • Tensor Cores 640

      • GPU memory bandwidth of up to 900 GB/s

      • Support for up to six bidirectional NVLink connections, each of which has a unidirectional bandwidth of 25 GB/s for a total bandwidth of 300 GB/s

    • Offers a CPU-to-memory ratio of 1:8.

    • Uses 2.5 GHz Intel® Xeon® Platinum 8163 (Skylake) processors to provide consistent computing performance.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports ESSDs, ESSD AutoPL disks, standard SSDs, and ultra disks.

    • Supports high-performance CPFS.

  • Network:

    • Supports IPv6.

    • Supports VPCs.

    • Supports RoCE v2 networks, which are dedicated to low-latency RDMA communication.

  • Supported scenarios:

    • Ultra-large-scale training for machine learning on distributed GPU clusters

    • Large-scale high-performance scientific computing and simulations

    • Large-scale data analytics, batch processing, and video encoding

sccgn6e instance types

Instance type

vCPUs

Memory (GiB)

GPUs

GPU memory (GB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

RoCE network bandwidth (Gbit/s)

NIC queues

ENIs

Private IPv4 addresses per ENI

ecs.sccgn6e.24xlarge

96

768.0

NVIDIA V100 * 8

32GB * 8

32

4,800,000

50

8

32

10

sccg5, general-purpose SCC instance family

Features:

  • This instance family supports all features of ECS Bare Metal Instance. For more information, see ECS Bare Metal Instance families.

  • Compute:

    • Offers a CPU-to-memory ratio of 1:4.

    • Uses 2.5 GHz Intel® Xeon® Platinum 8163 (Skylake) processors to provide consistent computing performance.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports standard SSDs and ultra disks.

  • Network:

    • Supports both RoCE networks and VPCs. RoCE networks are dedicated to RDMA communication.

  • Supported scenarios:

    • Large-scale machine learning training

    • Large-scale high-performance scientific computing and simulations

    • Large-scale data analytics, batch processing, and video encoding

sccg5 instance types

Instance type

vCPUs

Physical cores

Memory (GiB)

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

RoCE network bandwidth (Gbit/s)

NIC queues

ENIs

Private IPv4 addresses per ENI

ecs.sccg5.24xlarge

96

48

384.0

10

4,500,000

50

8

32

10

sccgn6ne, GPU-accelerated compute-optimized SCC instance family

Features:

  • This instance family provides all features of ECS Bare Metal Instance.

  • Compute:

    • Uses NVIDIA V100 GPUs (SXM2-based) that have the following features:

      • Innovative Volta architecture

      • 32 GB of HBM2 GPU memory

      • CUDA Cores 5120

      • Tensor Cores 640

      • GPU memory bandwidth of up to 900 GB/s

      • Support for up to six bidirectional NVLink connections, each of which has a unidirectional bandwidth of 25 GB/s for a total bandwidth of 300 GB/s

    • Offers a CPU-to-memory ratio of 1:4.

    • Uses 2.5 GHz Intel® Xeon® Platinum 8163 (Skylake) processors to provide consistent computing performance.

  • Storage:

    • Is an instance family in which all instances are I/O optimized.

    • Supports ESSDs, standard SSDs, and ultra disks.

    • Supports high-performance CPFS.

  • Network:

    • Supports IPv6.

    • Supports VPCs.

    • Supports RoCE v2 networks, which are dedicated to low-latency RDMA communication.

  • Supported scenarios:

    • Ultra-large-scale training for machine learning on distributed GPU clusters

    • Large-scale high-performance scientific computing and simulations

    • Large-scale data analytics, batch processing, and video encoding

sccgn6ne instance types

Instance type

vCPUs

Memory (GiB)

GPUs

GPU memory

Network baseline bandwidth (Gbit/s)

Packet forwarding rate (pps)

RoCE network bandwidth (Gbit/s)

NIC queues

ENIs

Private IPv4 addresses per ENI

ecs.sccgn6ne.24xlarge

96

768.0

NVIDIA V100 * 8

32GB * 8

32.0

4,800,000

100

16

8

20

n1, n2, and e3, shared instance families

Features:

  • Use 2.5 GHz Intel Xeon E5-2680 v3 (Haswell) or Platinum 8163 (Skylake) or 8269CY (Cascade Lake) processors.

  • Are instance families in which all instances are I/O optimized.

  • Support standard SSDs and ultra disks.

  • Provide high network performance based on large computing capacity.

Instance family

Description

CPU-to-memory ratio

Supported scenario

n1

Shared compute-optimized instance family

1:2

  • Small and medium-sized web servers

  • Batch processing

  • Distributed analytics

  • Advertisement services

n2

Shared general-purpose instance family

1:4

  • Medium-sized web servers

  • Batch processing

  • Distributed analytics

  • Advertisement services

  • Hadoop clusters

e3

Shared memory-optimized instance family

1:8

  • Cache and Redis

  • Search applications

  • In-memory databases

  • Databases with high I/O requirements, such as Oracle and MongoDB

  • Hadoop clusters

  • Large-volume data processing

n1 instance types

Instance type

vCPUs

Memory (GiB)

ENIs

ecs.n1.tiny

1

1.0

1

ecs.n1.small

1

2.0

1

ecs.n1.medium

2

4.0

1

ecs.n1.large

4

8.0

2

ecs.n1.xlarge

8

16.0

2

ecs.n1.3xlarge

16

32.0

2

ecs.n1.7xlarge

32

64.0

2

n2 instance types

Instance type

vCPUs

Memory (GiB)

ENIs

ecs.n2.small

1

4.0

1

ecs.n2.medium

2

8.0

1

ecs.n2.large

4

16.0

2

ecs.n2.xlarge

8

32.0

2

ecs.n2.3xlarge

16

64.0

2

ecs.n2.7xlarge

32

128.0

2

e3 instance types

Instance type

vCPUs

Memory (GiB)

ENIs

ecs.e3.small

1

8.0

1

ecs.e3.medium

2

16.0

1

ecs.e3.large

4

32.0

2

ecs.e3.xlarge

8

64.0

2

ecs.e3.3xlarge

16

128.0

2

Series-I instance families

Series-I instance families include t1, s1, s2, s3, m1, m2, c1, and c2. All the instance families are legacy shared instance families. The instance families are categorized based on the number of cores such as 1, 2, 4, 8, or 16 cores.

Features:

  • Use Intel Xeon E5-2420 processors with clock speeds of no less than 1.9 GHz.

  • Use the latest DDR3 memory.

  • Are instance families in which instances can be I/O optimized or non-I/O optimized.

I/O optimized instance types support standard SSDs and ultra disks. The following table describes the instance types and the specifications of the instance types.

Category

Instance type

vCPUs

Memory (GiB)

Standard

ecs.s2.large

2

4

ecs.s2.xlarge

2

8

ecs.s2.2xlarge

2

16

ecs.s3.medium

4

4

ecs.s3.large

4

8

High Memory

ecs.m1.medium

4

16

ecs.m2.medium

4

32

ecs.m1.xlarge

8

32

High CPU

ecs.c1.small

8

8

ecs.c1.large

8

16

ecs.c2.medium

16

16

ecs.c2.large

16

32

ecs.c2.xlarge

16

64

Non-I/O optimized instance types support only basic disks. The following table describes the instance types and the specifications of the instance types.

Category

Instance type

vCPUs

Memory (GiB)

Tiny

ecs.t1.small

1

1

Standard

ecs.s1.small

1

2

ecs.s1.medium

1

4

ecs.s1.large

1

8

ecs.s2.small

2

2

ecs.s2.large

2

4

ecs.s2.xlarge

2

8

ecs.s2.2xlarge

2

16

ecs.s3.medium

4

4

ecs.s3.large

4

8

High Memory

ecs.m1.medium

4

16

ecs.m2.medium

4

32

ecs.m1.xlarge

8

32

High CPU

ecs.c1.small

8

8

ecs.c1.large

8

16

ecs.c2.medium

16

16

ecs.c2.large

16

32

ecs.c2.xlarge

16

64