ecs.ebmgn7ix.32xlarge by Alibaba Cloud

ecs.ebmgn7ix.32xlarge is a ecs.ebmgn7ix family (128 vCPUs, 512 GiB RAM, 0 GB storage, 8xA10 24576 GiB VRAM) server offered by Alibaba Cloud with 128 vCPUs, 512 GiB of memory and 0 GB of storage. The pricing starts at 1.8749 USD per hour.
128 vCPU
512 GiB Memory
8 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.ebmgn7ix.32xlarge
Description
ecs.ebmgn7ix family (128 vCPUs, 512 GiB RAM, 0 GB storage, 8xA10 24576 GiB VRAM)
Family
ecs.ebmgn7ix
Hw Virt
-
Status
active
Observed At
2026-10-24T11:32:00.664719

Availability

REGION / IDSPOTONDEMAND
Shenzhen (CN) / cn-shenzhen
1.8749 USD/h 12.4995 USD/h
Beijing (CN) / cn-beijing
- 12.4995 USD/h
Shanghai (CN) / cn-shanghai
- 12.4995 USD/h

Processor

vCPUs
128
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B

System Resources and Accelerators

MEMORY
Memory Amount
512 GiB
ACCELERATORS
Accelerator Count
8
Accelerator Memory Min
24 GiB
Accelerator Memory Total
192 GiB
Accelerator Type
GPU
Accelerator Model
A10
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      160 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      An accelerator-focused server featuring eight GPUs, 128 dedicated vCPUs, and high-speed networking for parallel computing and machine learning workloads.

      GPU AcceleratedCompute OptimizedGeneral Purpose

      Alibaba Cloud ecs.ebmgn7ix.32xlarge is an x86_64 architecture server instance configured with 128 dedicated vCPUs and 512.0 GB of system memory, powered by an Intel Xeon 8369B processor operating at 2.9 GHz. Running on the KVM hypervisor, this instance integrates eight NVIDIA A10 GPUs providing a total of 192 GB of VRAM. It features a baseline network bandwidth of 160 Gbps, though it lacks local storage, requiring network-attached storage solutions. This hardware profile is designed for parallel processing tasks, making it suitable for GPU-accelerated workloads, data science, machine learning inference, and high-performance computing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

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      ecs.ebmgn7ix.32xlarge FAQs