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 | 2026-10-23T21:32:38.415745 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Zhangjiakou (CN) / cn-zhangjiakou | 2.83075 USD/h | 8.71 USD/h |
Beijing (CN) / cn-beijing | 0.968 USD/h | 9.68 USD/h |
Ulanqab (CN) / cn-wulanchabu | 1.452 USD/h | 9.68 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 9.68 USD/h |
Shanghai (CN) / cn-shanghai | - | 9.68 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 9.68 USD/h |
Processor
vCPUs | 32 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 240 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 4 |
Accelerator Memory Min | 16 GiB |
Accelerator Memory Total | 64 GiB |
Accelerator Type | GPU |
Accelerator Manufacturer | NVIDIA |
Accelerator Model | P100 |
Accelerators |
| 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 GPU-accelerated instance featuring four NVIDIA P100 processors, high-capacity system memory, and local SSD storage for parallel computing.
Alibaba Cloud ecs.gn5-c8g1.8xlarge is a GPU-accelerated server instance from the ecs.gn5 family, built on the x86_64 architecture and managed via the KVM hypervisor. It features 32 dedicated vCPUs and 240.0 GB of system memory, yielding 7.5 GB of RAM per core. The hardware profile is distinguished by four integrated NVIDIA P100 GPUs providing a total of 64 GB of VRAM, alongside a bundled 1889 GB local SSD. Network connectivity is supported by a baseline bandwidth of 10 Gbps. The dedicated CPU allocation and high-density GPU configuration provide stable performance for compute-heavy applications without resource contention, making it suitable for workloads such as deep learning, scientific computing, and GPU-driven database operations.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| 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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