ecs.gn5i-c28g1.14xlarge by Alibaba Cloud

ecs.gn5i-c28g1.14xlarge is a ecs.gn5i family (56 vCPUs, 224 GiB RAM, 0 GB storage, 2xP4 8192 GiB VRAM) server offered by Alibaba Cloud with 56 vCPUs, 224 GiB of memory and 0 GB of storage. The pricing starts at 2.499 USD per hour.
56 vCPU
224 GiB Memory
2 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn5i-c28g1.14xlarge
Description
ecs.gn5i family (56 vCPUs, 224 GiB RAM, 0 GB storage, 2xP4 8192 GiB VRAM)
Family
ecs.gn5i
Hw Virt
-
Status
active
Observed At
2026-10-28T23:18:20.638798

Availability

REGION / IDSPOTONDEMAND
Zhangjiakou (CN) / cn-zhangjiakou
2.499 USD/h 4.998 USD/h
Beijing (CN) / cn-beijing
- 6.665 USD/h
Shenzhen (CN) / cn-shenzhen
- 6.665 USD/h

Processor

vCPUs
56
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Architecture
x86_64

System Resources and Accelerators

MEMORY
Memory Amount
224 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
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A GPU-accelerated instance combining 56 dedicated vCPUs, 224 GB RAM, and dual NVIDIA P4 graphics processing units for compute-heavy workloads.

      GPU AcceleratedGeneral Purpose

      Alibaba Cloud ecs.gn5i-c28g1.14xlarge is a GPU-accelerated server instance built on x86_64 architecture and managed by a KVM hypervisor. It equips 56 dedicated vCPUs and 224 GB of host memory, providing a balanced 1:4 vCPU-to-RAM ratio. Acceleration is provided by two NVIDIA P4 GPUs with 16 GB of aggregate VRAM. The server features a 10 Gbps baseline network bandwidth profile and contains no local storage, depending entirely on network-attached storage solutions. This resource balance provides qualitative cost efficiency for GPU-assisted processing that requires high host core density without the expense of current-generation training accelerators. Primary tradeoffs include the lack of local disk storage and reliance on legacy GPU hardware. The instance fits deep learning inference, video encoding, and parallel computer vision tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

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      INSTANCEvCPUsMEMORYAccelerators
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      ecs.gn5i-c16g1.4xlarge 1664 GiB1
      ecs.gn5i-c16g1.8xlarge 32128 GiB2

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      ecs.gn5i-c28g1.14xlarge FAQs