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ecs.gn5i-c16g1.4xlarge by Alibaba Cloud

ecs.gn5i-c16g1.4xlarge is a ecs.gn5i family (16 vCPUs, 64 GiB RAM, 0 GB storage, 1xP4 8192 GiB VRAM) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 1.2095 USD per hour.
16 vCPU
64 GiB Memory
1 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn5i-c16g1.4xlarge
Description
ecs.gn5i family (16 vCPUs, 64 GiB RAM, 0 GB storage, 1xP4 8192 GiB VRAM)
Family
ecs.gn5i
Hw Virt
-
Status
active
Observed At
2026-07-27T11:27:25.044217

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
1.2095 USD/h 2.419 USD/h
Qingdao (CN) / cn-qingdao
1.2095 USD/h 2.419 USD/h
Shanghai (CN) / cn-shanghai
1.2095 USD/h 2.419 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.419 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.419 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Architecture
x86_64

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
GPU
GPU Count
1
GPU Memory Min
8 GiB
GPU Memory Total
8 GiB
GPU Model
P4
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A dedicated GPU-accelerated instance featuring sixteen physical cores, sixty-four gigabytes of memory, and an NVIDIA P4 graphics processor.

      GPU AcceleratedGeneral Purpose

      Alibaba Cloud ecs.gn5i-c16g1.4xlarge is an x86_64 GPU-accelerated server instance within the ecs.gn5i family, managed via the KVM hypervisor. It features 16 dedicated physical cores and 16 vCPUs with a one-to-one thread-to-core ratio, paired with 64.0 GB of system memory. Acceleration is provided by a single NVIDIA P4 GPU with 8 GB of VRAM. The instance does not include local storage, relying entirely on network-attached storage, and offers a baseline network bandwidth of 3 Gbps. This hardware profile delivers a balanced ratio of 4.0 GB of RAM per core alongside dedicated GPU resources, making it qualitatively cost-efficient for entry-level parallel processing. It is designed for workloads such as machine learning inference, video transcoding, and media processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      ecs.gn5i-c2g1.large 28 GiB1
      ecs.gn5i-c4g1.xlarge 416 GiB1
      ecs.gn5i-c8g1.2xlarge 832 GiB1
      ecs.gn5i-c16g1.8xlarge 32128 GiB2
      ecs.gn5i-c28g1.14xlarge 56224 GiB2

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      ecs.gn5i-c16g1.4xlarge FAQs