This topic describes the features of GPU-accelerated compute-optimized instance families of Elastic Compute Service (ECS) and lists the instance specifications of each instance family.

gn7i, GPU-accelerated compute-optimized instance family

Features:
  • This instance family uses third-generation SHENLONG architecture to provide predictable and consistent ultra-high performance. This instance family utilizes fast path acceleration on chips to improve storage performance, network performance, and computing stability by an order of magnitude.
  • Compute:
    • Uses NVIDIA A10 GPUs that have the following features:
      • Innovative NVIDIA Ampere architecture
      • Support for acceleration features such as RTX and TensorRT
    • Uses 2.9 GHz Intel® Xeon® Scalable (Ice Lake) processors that deliver an all-core turbo frequency of 3.5 GHz.
    • Provides memory of up to 752 GiB, which is much larger than the memory sizes of the gn6i instance family.
  • Storage:
    • Is an instance family in which all instances are I/O optimized.
    • Supports ESSDs, standard SSDs, and ultra disks.
  • Network:
    • Supports IPv6.
    • Provides high network performance based on large computing capacity.
  • Supported scenarios:
    • Concurrent AI inference tasks that require high-performance CPUs, memory, and GPUs, such as image recognition, speech recognition, and behavior identification
    • Compute-intensive graphics processing tasks that require high-performance 3D graphics virtualization capabilities, such as remote graphic design and cloud gaming
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs Private IP addresses per ENI
ecs.gn7i-c8g1.2xlarge 8 30 NVIDIA A10 × 1 24GB × 1 16 1,600,000 8 4 5
ecs.gn7i-c16g1.4xlarge 16 60 NVIDIA A10 × 1 24GB × 1 16 3,000,000 8 8 5
ecs.gn7i-c32g1.8xlarge 32 188 NVIDIA A10 × 1 24GB × 1 16 6,000,000 12 8 5
ecs.gn7i-c32g1.16xlarge 64 376 NVIDIA A10 × 2 24GB × 2 32 12,000,000 16 15 5
ecs.gn7i-c32g1.32xlarge 128 752 NVIDIA A10 × 4 24GB × 4 64 24,000,000 32 15 10
ecs.gn7i-c48g1.12xlarge 48 310 NVIDIA A10 × 1 24GB × 1 16 9,000,000 16 8 8
ecs.gn7i-c56g1.14xlarge 56 346 NVIDIA A10 × 1 24GB × 1 16 12,000,000 16 12 8
Note

gn7, GPU-accelerated compute-optimized instance family

Features:
  • Compute:
    • Uses NVIDIA A100 GPUs. NVSwitches are used to establish connections between NVIDIA A100 GPUs. The GPUs have the following features:
      • Innovative NVIDIA Ampere architecture
      • 40 GB HBM2 memory per GPU
    • Uses 2.5 GHz Intel® Xeon® Platinum 8269CY (Cascade Lake) processors.
  • Storage:
    • Is an instance family in which all instances are I/O optimized.
    • Supports ESSDs, standard SSDs, and ultra disks.
  • Network:
    • Supports IPv6.
    • Provides high network performance based on large computing capacity.
  • Supported scenarios:
    • Deep learning applications such as training applications of AI algorithms used in image classification, autonomous vehicles, and speech recognition
    • Scientific computing applications that require robust GPU computing capabilities such as computational fluid dynamics, computational finance, molecular dynamics, and environmental analytics
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs
ecs.gn7-c12g1.3xlarge 12 95 NVIDIA A100 × 1 40GB × 1 4 2,500,000 4 8
ecs.gn7-c13g1.13xlarge 52 380 NVIDIA A100 × 4 40GB × 4 15 9,000,000 16 8
ecs.gn7-c13g1.26xlarge 104 760 NVIDIA A100 × 8 40GB × 8 30 18,000,000 16 16
Note

gn6i, GPU-accelerated compute-optimized instance family

Features:
  • Compute:
    • Uses NVIDIA T4 GPUs that have the following features:
      • Innovative NVIDIA Turing architecture
      • 16 GB memory (320 GB/s bandwidth) per GPU
      • 2,560 CUDA cores per GPU
      • Up to 320 Turing Tensor cores per GPU
      • Mixed-precision Tensor cores that support 65 FP16 TFLOPS, 130 INT8 TOPS, and 260 INT4 TOPS
    • 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, ultra disks, and ESSDs that deliver millions of IOPS.
  • Network:
    • Supports IPv6.
    • Provides high network performance based on large computing capacity.
  • Supported scenarios:
    • AI (deep learning and machine learning) inference for computer vision, speech recognition, speech synthesis, natural language processing (NLP), machine translation, and recommendation systems
    • Real-time rendering for cloud gaming
    • Real-time rendering for AR and VR applications
    • Graphics workstations or overloaded graphics computing
    • GPU-accelerated databases
    • High-performance computing
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Bandwidth (Gbit/s) Packet forwarding rate (pps) Baseline storage IOPS NIC queues ENIs Private IP addresses per ENI
ecs.gn6i-c4g1.xlarge 4 15 NVIDIA T4 × 1 16GB × 1 4 500,000 None 2 2 10
ecs.gn6i-c8g1.2xlarge 8 31 NVIDIA T4 × 1 16GB × 1 5 800,000 None 2 2 10
ecs.gn6i-c16g1.4xlarge 16 62 NVIDIA T4 × 1 16GB × 1 6 1,000,000 None 4 3 10
ecs.gn6i-c24g1.6xlarge 24 93 NVIDIA T4 × 1 16GB × 1 7.5 1,200,000 None 6 4 10
ecs.gn6i-c40g1.10xlarge 40 155 NVIDIA T4 × 1 16GB × 1 10 1,600,000 None 16 10 10
ecs.gn6i-c24g1.12xlarge 48 186 NVIDIA T4 × 2 16GB × 2 15 2,400,000 None 12 6 10
ecs.gn6i-c24g1.24xlarge 96 372 NVIDIA T4 × 4 16GB × 4 30 4,800,000 250,000 24 8 10
Note

gn6e, GPU-accelerated compute-optimized instance family

Features:
  • Compute:
    • Uses NVIDIA V100 GPUs that each has 32 GB of GPU memory and support NVLink.
    • Uses NVIDIA V100 GPUs (SXM2-based) that have the following features:
      • Innovative NVIDIA Volta architecture
      • 32 GB HBM2 memory (900 GB/s bandwidth) per GPU
      • 5,120 CUDA cores per GPU
      • 640 Tensor cores per GPU
      • Support for up to six NVLink connections, which each have a bidirectional bandwidth of 50 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.
  • Storage:
    • Is an instance family in which all instances are I/O optimized.
    • Supports ESSDs, standard SSDs, and ultra disks.
  • Network:
    • Supports IPv6.
    • Provides high network performance based on large computing capacity.
  • Supported scenarios:
    • Deep learning applications such as the training and inference applications of AI algorithms used in image classification, autonomous driving, and speech recognition
    • Scientific computing applications, such as computational fluid dynamics, computational finance, molecular dynamics, and environmental analytics
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs Private IP addresses per ENI
ecs.gn6e-c12g1.3xlarge 12 92 NVIDIA V100 × 1 32GB × 1 5 800,000 8 6 10
ecs.gn6e-c12g1.12xlarge 48 368 NVIDIA V100 × 4 32GB × 4 16 2,400,000 8 8 20
ecs.gn6e-c12g1.24xlarge 96 736 NVIDIA V100 × 8 32GB × 8 32 4,800,000 16 8 20
Note

gn6v, GPU-accelerated compute-optimized instance family

Features:
  • Compute:
    • Uses NVIDIA V100 GPUs.
    • Uses NVIDIA V100 GPUs (SXM2-based) that have the following features:
      • Innovative NVIDIA Volta architecture
      • 16 GB HBM2 memory (900 GB/s bandwidth) per GPU
      • 5,120 CUDA cores per GPU
      • 640 Tensor cores per GPU
      • Support for up to six NVLink connections, which each have a bidirectional bandwidth of 50 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.
  • Storage:
    • Is an instance family in which all instances are I/O optimized.
    • Supports ESSDs, standard SSDs, and ultra disks.
  • Network:
    • Supports IPv6.
    • Provides high network performance based on large computing capacity.
  • Supported scenarios:
    • Deep learning applications such as the training and inference applications of AI algorithms used in image classification, autonomous driving, and speech recognition
    • Scientific computing applications, such as computational fluid dynamics, computational finance, molecular dynamics, and environmental analytics
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Bandwidth (Gbit/s) Packet forwarding rate (pps) Baseline storage IOPS NIC queues ENIs Private IP addresses per ENI
ecs.gn6v-c8g1.2xlarge 8 32 NVIDIA V100 × 1 16GB × 1 2.5 800,000 None 4 4 10
ecs.gn6v-c8g1.8xlarge 32 128 NVIDIA V100 × 4 16GB × 4 10 2,000,000 None 8 8 20
ecs.gn6v-c8g1.16xlarge 64 256 NVIDIA V100 × 8 16GB × 8 20 2,500,000 None 16 8 20
ecs.gn6v-c10g1.20xlarge 82 336 NVIDIA V100 × 8 16GB × 8 32 4,500,000 250,000 16 8 20
Note

ebmgn7e, GPU-accelerated compute-optimized ECS Bare Metal Instance family

Features:
  • Provides flexible and powerful software-defined compute based on SHENLONG architecture.
  • Uses NVIDIA A100 SXM4 80GB GPUs that support NVSwitches and deliver up to 312 TFLOPS of TensorFloat-32 (TF32) computing power.
  • Uses 2.9 GHz Intel® Xeon®Scalable processors that deliver an all-core turbo frequency of 3.5 GHz and support PCIe 4.0 interfaces.
  • Is an instance family in which all instances are I/O optimized.
  • Supports only ESSDs. ESSDs at performance level (PL) 3 can deliver a maximum of 1,000,000 IOPS and 4,000 MB/s of throughput, which can meet the cache requirements of training and eliminate the need for local disks.
    Note For more information about the performance of ESSDs, see ESSDs.
  • Supports IPv6.
  • Provides ultra-high network performance with a packet forwarding rate of 24,000,000 pps.
  • Suits the following scenarios:
    • Deep learning training and development
    • High-performance computing (HPC) and simulations
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Network bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues (primary ENI/secondary ENI) ENIs
ecs.ebmgn7e.32xlarge 128 1,024 NVIDIA A100 × 8 80 GB × 8 64 24,000,000 32/12 32
Note

ebmgn7i, GPU-accelerated compute-optimized ECS Bare Metal Instance family

Features:
  • Provides flexible and powerful software-defined compute based on SHENLONG architecture.
  • Uses NVIDIA A10 GPUs that have the following features:
    • Innovative NVIDIA Ampere architecture
    • Support for acceleration features such as vGPU, RTX technology, and TensorRT inference engine
  • Uses 2.9 GHz Intel® Xeon® Scalable (Ice Lake) processors that deliver an all-core turbo frequency of 3.5 GHz.
  • Is an instance family in which all instances are I/O optimized.
  • Supports only ESSDs.
  • Supports IPv6.
  • Provides ultra-high network performance with a packet forwarding rate of 24,000,000 pps.
  • Suits the following scenarios:
    • Concurrent AI inference tasks that require high-performance CPUs, memory, and GPUs, such as image recognition, speech recognition, and behavior identification
    • Compute-intensive graphics processing tasks that require high-performance 3D graphics virtualization capabilities, such as remote graphic design and cloud gaming
    • Scenarios that require high network bandwidth and disk bandwidth, such as the creation of high-performance render farms
    • Small-scale deep learning and training applications that require high network bandwidth
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Network bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs
ecs.ebmgn7i.32xlarge 128 768 NVIDIA A10 × 4 24 GB × 4 64 24,000,000 32 32
Note

ebmgn7, GPU-accelerated compute-optimized ECS Bare Metal Instance family

Features:
  • Provides flexible and powerful software-defined compute based on SHENLONG architecture.
  • Uses NVIDIA A100 GPUs. NVSwitches are used to establish connections between NVIDIA A100 GPUs. The GPUs have the following features:
    • Innovative NVIDIA Ampere architecture
    • 40 GB of HBM2 memory per GPU
  • Uses 2.5 GHz Intel® Xeon® Platinum 8269CY (Cascade Lake) processors.
  • Is an instance family in which all instances are I/O optimized.
  • Supports only ESSDs.
  • Supports IPv6.
  • Provides high network performance based on large computing capacity.
  • Suits the following scenarios:
    • Deep learning applications such as training applications of AI algorithms used in image classification, autonomous vehicles, and speech recognition
    • Scientific computing applications that require robust GPU computing capabilities such as computational fluid dynamics, computational finance, molecular dynamics, and environmental analytics
Instance types
Instance type vCPUs Memory (GiB) GPU Network bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs Private IP addresses per ENI
ecs.ebmgn7.26xlarge 104 768 NVIDIA A100 × 8 30 18,000,000 16 15 10
Note

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

This instance family is in invitational preview. To use this instance family, Submit a ticket.

Features:
  • Utilizes third-generation SHENLONG architecture and fast path acceleration on chips to provide predictable and consistent ultra-high computing, storage, and network performance.
  • Uses NVIDIA T4 GPUs to offer GPU acceleration capabilities for graphics and AI applications and adopts container technology to start up to 60 virtual Android devices and provide hardware-accelerated video transcoding.
  • Offers a CPU-to-memory ratio of 1:3.
  • Uses 2.8 GHz Ampere® Altra® processors that deliver a turbo frequency of 3.0 GHz and provides high performance and high compatibility with applications for Android servers.
  • Is an instance family in which all instances are I/O optimized.
  • Supports only ESSDs.
  • Supports IPv6.
  • Suits the following 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.
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Network bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs Private IP addresses per ENI
ecs.ebmgn6ia.20xlarge 80 256 NVIDIA T4 × 2 16 GB × 2 32 24,000,000 32 15 10
Note
  • You can go to the ECS Instance Types Available for Each Region page to view the instance types available in each region.
  • For more information about these specifications, see Instance type specifications.
  • Ampere® Altra® processors have specific requirements on the kernels of operating systems. Instances of this instance type can use Alibaba Cloud Linux 3 images or CentOS 8.4 or later images. We recommend that you use Alibaba Cloud Linux 3 images on the instances. If you want to use another 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 this instance type. For information about kernel patches, visit Ampere Altra (TM) Linux Kernel Porting Guide.

ebmgn6e, GPU-accelerated compute-optimized ECS Bare Metal Instance family

Features:
  • Provides flexible and powerful software-defined compute based on SHENLONG architecture.
  • Uses NVIDIA V100 GPUs that each has 32 GB of GPU memory and support NVLink.
  • Uses NVIDIA V100 GPUs (SXM2-based) that have the following features:
    • Innovative NVIDIA Volta architecture
    • 32 GB of HBM2 memory (900 GB/s bandwidth) per GPU
    • 5,120 CUDA cores per GPU
    • 640 Tensor cores per GPU
    • Support for up to six NVLink connections, which each have a bidirectional bandwidth of 50 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.
  • Is an instance family in which all instances are I/O optimized.
  • Supports ESSDs, standard SSDs, and ultra disks.
  • Supports IPv6.
  • Provides high network performance based on large computing capacity.
  • Suits the following scenarios:
    • Deep learning applications, such as training and inference applications of AI algorithms used in image classification, autonomous vehicles, and speech recognition
    • Scientific computing applications, such as computational fluid dynamics, computational finance, molecular dynamics, and environmental analytics
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Network bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs Private IP addresses per ENI
ecs.ebmgn6e.24xlarge 96 768 NVIDIA V100 × 8 32 GB × 8 32 4,800,000 16 15 20
Note

ebmgn6v, GPU-accelerated compute-optimized ECS Bare Metal Instance family

Features:
  • Provides flexible and powerful software-defined compute based on SHENLONG architecture.
  • Uses NVIDIA V100 GPUs.
  • Uses NVIDIA V100 GPUs (SXM2-based) that have the following features:
    • Innovative NVIDIA Volta architecture
    • 16 GB of HBM2 memory (900 GB/s bandwidth) per GPU
    • 5,120 CUDA cores per GPU
    • 640 Tensor cores per GPU
    • Support for up to six NVLink connections, which each have a bidirectional bandwidth of 50 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.
  • Is an instance family in which all instances are I/O optimized.
  • Supports ESSDs, standard SSDs, and ultra disks.
  • Supports IPv6.
  • Provides high network performance based on large computing capacity.
  • Suits the following scenarios:
    • Deep learning applications, such as training and inference applications of AI algorithms used in image classification, autonomous vehicles, and speech recognition
    • Scientific computing applications, such as computational fluid dynamics, computational finance, molecular dynamics, and environmental analytics
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Network bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs Private IP addresses per ENI
ecs.ebmgn6v.24xlarge 96 384 NVIDIA V100 × 8 16 GB × 8 30 4,500,000 8 32 10
Note

ebmgn6i, GPU-accelerated compute-optimized ECS Bare Metal Instance family

Features:
  • Provides flexible and powerful software-defined compute based on SHENLONG architecture.
  • Uses NVIDIA T4 GPUs that have the following features:
    • Innovative NVIDIA Turing architecture
    • 16 GB of memory (320 GB/s bandwidth) per GPU
    • 2,560 CUDA cores per GPU
    • Up to 320 Turing Tensor cores per GPU
    • Mixed-precision Tensor cores that support 65 FP16 TFLOPS, 130 INT8 TOPS, and 260 INT4 TOPS
  • Offers a CPU-to-memory ratio of 1:4.
  • Uses 2.5 GHz Intel® Xeon® Platinum 8163 (Skylake) processors.
  • Is an instance family in which all instances are I/O optimized.
  • Supports standard SSDs, ultra disks, and ESSDs that deliver millions of IOPS.
  • Supports IPv6.
  • Provides high network performance based on large computing capacity.
  • Suits the following scenarios:
    • AI (deep learning and machine learning) inference for computer vision, voice recognition, speech synthesis, natural language processing (NLP), machine translation, and reference systems
    • Real-time rendering for cloud games
    • Real-time rendering for AR and VR applications
    • Graphics workstations or overloaded graphics computing
    • GPU-accelerated databases
    • High-performance computing
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Network bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs Private IP addresses per ENI
ecs.ebmgn6i.24xlarge 96 384 NVIDIA T4 × 4 16 GB × 4 30 4,500,000 8 32 10
Note

sccgn6e, GPU-accelerated compute-optimized SCC instance family

To use this instance family,submit a ticket.

Features:
  • This instance family provides all features of ECS Bare Metal Instance. For more information, see Overview.
  • Compute:
    • Uses NVIDIA V100 GPUs (SXM2-based) that have the following features:
      • Innovative NVIDIA 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 NVLink connections, which each have a bidirectional bandwidth of 50 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 for 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 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 a distributed GPU cluster
    • Large-scale high-performance scientific computing and simulation calculation
    • Large-scale data analytics, batch processing, and video encoding
Instance types
Instance type vCPU Memory (GiB) GPU GPU memory (GB) Network bandwidth (Gbit/s) Packet forwarding rate (pps) RoCE bandwidth (Gbit/s) NIC queues ENIs Private IP addresses per ENI
ecs.sccgn6e.24xlarge 96 768.0 NVIDIA V100 * 8 32GB * 8 32 4,800,000 50 8 32 10
Note

sccgn6, GPU-accelerated compute-optimized SCC instance family

Features:
  • This instance family provides all features of ECS Bare Metal Instance. For more information, see Overview.
  • Compute:
    • Uses NVIDIA V100 GPUs (SXM2-based) that have the following features:
      • Innovative NVIDIA Volta architecture
      • Up to 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 NVLink connections, which each have a bidirectional bandwidth of 50 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 for 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 a distributed GPU cluster
    • Large-scale high-performance scientific computing and simulation calculation
    • Large-scale data analytics, batch processing, and video encoding
Instance types
Instance type vCPU Memory (GiB) GPU Network bandwidth (Gbit/s) Packet forwarding rate (pps) RoCE bandwidth (Gbit/s) NIC queues ENIs Private IP addresses per ENI
ecs.sccgn6.24xlarge 96 384.0 NVIDIA V100 * 8 30 4,500,000 50 8 32 10
Note

gn5, GPU-accelerated compute-optimized instance family

Features:
  • Compute:
    • Uses NVIDIA P100 GPUs.
    • Offers multiple CPU-to-memory ratios.
    • Uses 2.5 GHz Intel® Xeon® E5-2682 v4 (Broadwell) processors.
  • Storage:
    • Supports high-performance local Non-Volatile Memory Express (NVMe) SSDs.
    • Is an instance family in which all instances are I/O optimized.
    • Supports only 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
Instance types
Instance type vCPUs Memory (GiB) Local storage (GiB) GPU GPU memory Bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs Private IP addresses per ENI
ecs.gn5-c4g1.xlarge 4 30 440 NVIDIA P100 × 1 16GB × 1 3 300,000 1 3 10
ecs.gn5-c8g1.2xlarge 8 60 440 NVIDIA P100 × 1 16GB × 1 3 400,000 1 4 10
ecs.gn5-c4g1.2xlarge 8 60 880 NVIDIA P100 × 2 16GB × 2 5 1,000,000 2 4 10
ecs.gn5-c8g1.4xlarge 16 120 880 NVIDIA P100 × 2 16GB × 2 5 1,000,000 4 8 20
ecs.gn5-c28g1.7xlarge 28 112 440 NVIDIA P100 × 1 16GB × 1 5 1,000,000 8 8 20
ecs.gn5-c8g1.8xlarge 32 240 1760 NVIDIA P100 × 4 16GB × 4 10 2,000,000 8 8 20
ecs.gn5-c28g1.14xlarge 56 224 880 NVIDIA P100 × 2 16GB × 2 10 2,000,000 14 8 20
ecs.gn5-c8g1.14xlarge 54 480 3520 NVIDIA P100 × 8 16GB × 8 25 4,000,000 14 8 20
Note

gn5i, GPU-accelerated compute-optimized instance family

Features:
  • Compute:
    • Uses NVIDIA P4 GPUs.
    • Offers a CPU-to-memory ratio of 1:4.
    • 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 only standard SSDs and ultra disks.
  • Network:
    • Supports IPv6.
    • Provides high network performance based on large computing capacity.
  • Supported scenarios:
    • Deep learning inference
    • Server-side GPU compute workloads such as multi-media encoding and decoding
Instance types
Instance type vCPUs Memory (GiB) GPU GPU memory Bandwidth (Gbit/s) Packet forwarding rate (pps) NIC queues ENIs Private IP addresses per ENI
ecs.gn5i-c2g1.large 2 8 NVIDIA P4 × 1 8GB × 1 1 100,000 2 2 6
ecs.gn5i-c4g1.xlarge 4 16 NVIDIA P4 × 1 8GB × 1 1.5 200,000 2 3 10
ecs.gn5i-c8g1.2xlarge 8 32 NVIDIA P4 × 1 8GB × 1 2 400,000 4 4 10
ecs.gn5i-c16g1.4xlarge 16 64 NVIDIA P4 × 1 8GB × 1 3 800,000 4 8 20
ecs.gn5i-c16g1.8xlarge 32 128 NVIDIA P4 × 2 8GB × 2 6 1,200,000 8 8 20
ecs.gn5i-c28g1.14xlarge 56 224 NVIDIA P4 × 2 8GB × 2 10 2,000,000 14 8 20
Note