ecs.gn9gc-8x.64xlarge by Alibaba Cloud
(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 / ID | SPOT | ONDEMAND |
|---|
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.
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
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| ecs.gn9gc.4xlarge | 16 | 128 GiB | 1 |
| ecs.gn9gc.8xlarge | 32 | 192 GiB | 1 |
| ecs.gn9gc-2x.16xlarge | 64 | 384 GiB | 2 |
| ecs.gn9gc-4x.32xlarge | 128 | 768 GiB | 4 |
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