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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
2026-07-25T09:27:31.406556

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
GPU
GPU Count
1
GPU Memory Min
4 GiB
GPU Memory Total
4 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ada Lovelace
GPUs
    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

      A dedicated AMD EPYC instance featuring an NVIDIA Ada Lovelace GPU for entry-level accelerated computing and graphics workloads.

      GPU AcceleratedGeneral Purpose

      Alibaba Cloud ecs.sgn8ia-m4.2xlarge is a KVM-based virtual machine featuring 8 dedicated physical cores powered by an AMD EPYC 9T34 processor running at 3.4 GHz. The instance is equipped with 32.0 GB of system memory, yielding 4.0 GB per core. For hardware acceleration, it includes a single NVIDIA Ada Lovelace GPU with 4 GB of VRAM. This server does not feature any local storage, relying entirely on network-attached storage options, and operates with a baseline network bandwidth of 4 Gbps. Given the dedicated CPU allocation and entry-level GPU acceleration, this instance is configured for workloads such as lightweight machine learning inference, video transcoding, and graphics rendering. The lack of local storage and moderate network bandwidth represent key tradeoffs for data-intensive applications.

      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