ecs.sgn8ia-m4.2xlarge by Alibaba Cloud

ecs.sgn8ia-m4.2xlarge is a ecs.sgn8ia family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage.
8 vCPU
32 GiB Memory
1 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sgn8ia-m4.2xlarge
Description
ecs.sgn8ia family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.sgn8ia
Hw Virt
-
Status
active
Observed At
2026-10-23T18:18:26.257602

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Speed
3.4 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9T34

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
ACCELERATORS
Accelerator Count
1
Accelerator Memory Min
4 GiB
Accelerator Memory Total
4 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Ada Lovelace
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      4 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      An entry-level GPU-accelerated instance featuring dedicated AMD EPYC processors and NVIDIA Ada Lovelace graphics for lightweight parallel computing workloads.

      GPU AcceleratedGeneral Purpose

      Alibaba Cloud ecs.sgn8ia-m4.2xlarge is a KVM-based virtual server featuring 8 dedicated vCPUs powered by an AMD EPYC 9T34 processor running at 3.4 GHz. It is equipped with 32.0 GB of system memory and a single NVIDIA Ada Lovelace GPU with 4 GB of VRAM. The instance does not include local storage, relying entirely on network-attached storage, and operates with a baseline network bandwidth of 4 Gbps. This hardware configuration provides a balanced ratio of 4.0 GB of RAM per vCPU alongside entry-level GPU acceleration. It is designed for workloads such as lightweight machine learning inference, video encoding, and graphics-accelerated applications that require dedicated CPU resources and modest GPU compute capabilities without the cost of high-end accelerator hardware.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

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      ecs.sgn8ia-m48.24xlarge 96384 GiB1

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      ecs.sgn8ia-m4.2xlarge FAQs