ecs.gn5i-c16g1.8xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.gn5i-c16g1.8xlarge |
Description | ecs.gn5i family (32 vCPUs, 128 GiB RAM, 0 GB storage, 2xP4 8192 GiB VRAM) |
Family | ecs.gn5i |
Hw Virt | - |
Status | active |
Observed At | 2026-10-24T00:57:06.613386 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Beijing (CN) / cn-beijing | - | 4.837 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 4.837 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 4.837 USD/h |
Processor
vCPUs | 32 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 128 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 2 |
Accelerator Memory Min | 8 GiB |
Accelerator Memory Total | 16 GiB |
Accelerator Type | GPU |
Accelerator Manufacturer | NVIDIA |
Accelerator Model | P4 |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 6 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A GPU-accelerated virtual instance featuring 32 dedicated vCPUs, 128 GB RAM, and dual NVIDIA P4 accelerators for AI inference workloads.
Alibaba Cloud ecs.gn5i-c16g1.8xlarge is a GPU-accelerated virtual machine built on x86_64 architecture and managed via the KVM hypervisor. The instance features 32 dedicated vCPUs along with 128 GB of system memory, establishing a 4 GB RAM per vCPU allocation ratio. Acceleration is powered by two NVIDIA P4 GPUs containing a combined total of 16 GB VRAM. Network traffic is serviced by a baseline network bandwidth of 6 Gbps. No local storage is included on the host, requiring deployment of remote block storage for data persistence, and zero complimentary public IPv4 addresses are assigned. By pairing dual GPUs with a substantial vCPU count, this configuration balances parallel processing throughput with cost efficiency. It is suitable for deep learning inference, media transcoding, computer vision tasks, and general-purpose GPU workloads.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| ecs.gn5i-c2g1.large | 2 | 8 GiB | 1 |
| ecs.gn5i-c4g1.xlarge | 4 | 16 GiB | 1 |
| ecs.gn5i-c8g1.2xlarge | 8 | 32 GiB | 1 |
| ecs.gn5i-c16g1.4xlarge | 16 | 64 GiB | 1 |
| ecs.gn5i-c28g1.14xlarge | 56 | 224 GiB | 2 |
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