ecs.gn5-c8g1.8xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.gn5-c8g1.8xlarge |
Description | ecs.gn5 family (32 vCPUs, 240 GiB RAM, 1889 GB ssd storage, 4xP100 16384 GiB VRAM) |
Family | ecs.gn5 |
Hw Virt | - |
Status | active |
Observed At | 2026-07-25T09:27:31.365677 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Hohhot (CN) / cn-huhehaote | 0.871 USD/h | 8.71 USD/h |
Zhangjiakou (CN) / cn-zhangjiakou | 2.83075 USD/h | 8.71 USD/h |
Hangzhou (CN) / cn-hangzhou | 1.452 USD/h | 9.68 USD/h |
Shenzhen (CN) / cn-shenzhen | 1.452 USD/h | 9.68 USD/h |
Ulanqab (CN) / cn-wulanchabu | 4.84 USD/h | 9.68 USD/h |
Beijing (CN) / cn-beijing | - | 9.68 USD/h |
Shanghai (CN) / cn-shanghai | - | 9.68 USD/h |
Processor
vCPUs | 32 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 32 |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 240 GiB |
| GPU | |
|---|---|
GPU Count | 4 |
GPU Memory Min | 16 GiB |
GPU Memory Total | 64 GiB |
GPU Model | P100 |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 1889 GB |
Storage Type | ssd |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 10 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A dedicated multi-GPU instance featuring four accelerators and local SSD storage for parallel computing and deep learning workloads.
Alibaba Cloud ecs.gn5-c8g1.8xlarge is a GPU-accelerated instance from the ecs.gn5 family, built on the x86_64 architecture. It features 32 dedicated physical cores and 32 vCPUs with a single thread per core, paired with 240.0 GB of system memory. The server is equipped with four NVIDIA P100 GPUs, providing a total of 64 GB of VRAM, alongside a bundled 1889 GB local SSD for high-speed storage. Operating on the KVM hypervisor, the instance delivers a baseline network bandwidth of 10 Gbps. This hardware configuration is optimized for parallel computing tasks, making it highly suitable for deep learning, scientific computing, and GPU-intensive rendering workloads. The dedicated CPU allocation ensures stable, predictable performance without resource contention, offering a robust platform for multi-GPU processing requirements.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ecs.gn5-c4g1.xlarge | 4 | 30 GiB | 1 |
| ecs.gn5-c8g1.2xlarge | 8 | 60 GiB | 1 |
| ecs.gn5-c4g1.2xlarge | 8 | 60 GiB | 2 |
| ecs.gn5-c8g1.4xlarge | 16 | 120 GiB | 2 |
| ecs.gn5-c28g1.7xlarge | 28 | 112 GiB | 1 |
| ecs.gn5-c8g1.14xlarge | 54 | 480 GiB | 8 |
| ecs.gn5-c28g1.14xlarge | 56 | 224 GiB | 2 |
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