ecs.gn5i-c16g1.8xlarge by Alibaba Cloud

ecs.gn5i-c16g1.8xlarge is a ecs.gn5i family (32 vCPUs, 128 GiB RAM, 0 GB storage, 2xP4 8192 GiB VRAM) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 4.837 USD per hour.
32 vCPU
128 GiB Memory
2 GPU
Spare SCore
-
(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 / IDSPOTONDEMAND
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.

      GPU AcceleratedGeneral Purpose

      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

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.gn5i-c2g1.large 28 GiB1
      ecs.gn5i-c4g1.xlarge 416 GiB1
      ecs.gn5i-c8g1.2xlarge 832 GiB1
      ecs.gn5i-c16g1.4xlarge 1664 GiB1
      ecs.gn5i-c28g1.14xlarge 56224 GiB2

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.gn5i-c16g1.8xlarge FAQs