ecs.gn9gc-8x.64xlarge by Alibaba Cloud

ecs.gn9gc-8x.64xlarge is a ecs.gn9gc family (256 vCPUs, 1536 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 256 vCPUs, 1536 GiB of memory and 0 GB of storage.
256 vCPU
1536 GiB Memory
8 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn9gc-8x.64xlarge
API Reference Object
-
Description
ecs.gn9gc family (256 vCPUs, 1536 GiB RAM, 0 GB storage)
Family
ecs.gn9gc
Hw Virt
-
Status
inactive
Observed At
2026-10-18T17:35:46.351593

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
256
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Speed
3.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9A75

System Resources and Accelerators

MEMORY
Memory Amount
2 TB
ACCELERATORS
Accelerator Count
8
Accelerator Memory Min
72 GiB
Accelerator Memory Total
576 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Blackwell
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      200 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A high-density GPU instance featuring eight Blackwell accelerators and dedicated AMD EPYC processors for massive parallel computing workloads.

      GPU AcceleratedCompute OptimizedMemory Optimized

      Alibaba Cloud ecs.gn9gc-8x.64xlarge is a high-performance, GPU-accelerated server instance built on the KVM hypervisor. It features 256 dedicated vCPUs powered by 3.3 GHz AMD EPYC 9A75 processors and is equipped with 1536.0 GB of system memory. Acceleration is driven by eight NVIDIA Blackwell GPUs providing a total of 576 GB of VRAM. The instance lacks local storage, relying entirely on network-attached storage solutions, but offers a high-speed baseline network bandwidth of 200 Gbps to mitigate data transfer bottlenecks. This hardware profile is optimized for demanding computational tasks such as large-scale artificial intelligence training, deep learning inference, and complex scientific simulations. The high density of GPU and CPU resources provides a consolidated platform that reduces multi-node networking overhead for massive parallel workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.gn9gc.4xlarge 16128 GiB1
      ecs.gn9gc.8xlarge 32192 GiB1
      ecs.gn9gc-2x.16xlarge 64384 GiB2
      ecs.gn9gc-4x.32xlarge 128768 GiB4

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      ecs.gn9gc-8x.64xlarge FAQs