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ecs.ebmgn8is.32xlarge by Alibaba Cloud

ecs.ebmgn8is.32xlarge is a ecs.ebmgn8is family (128 vCPUs, 1024 GiB RAM, 0 GB storage, 8xL20 49152 GiB VRAM) server offered by Alibaba Cloud with 128 vCPUs, 1024 GiB of memory and 0 GB of storage.
128 vCPU
1024 GiB Memory
8 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.ebmgn8is.32xlarge
Description
ecs.ebmgn8is family (128 vCPUs, 1024 GiB RAM, 0 GB storage, 8xL20 49152 GiB VRAM)
Family
ecs.ebmgn8is
Hw Virt
-
Status
active
Observed At
2026-07-25T14:37:56.265027

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
128
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
128
CPU Speed
3.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
6462C

System Resources and Accelerators

MEMORY
Memory Amount
1 TB
GPU
GPU Count
8
GPU Memory Min
48 GiB
GPU Memory Total
384 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ada Lovelace
GPU Model
L20
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      170 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A high-density bare-metal platform featuring eight dedicated GPUs and 128 physical cores for intensive parallel computing and machine learning workloads.

      GPU AcceleratedCompute OptimizedMemory Optimized

      Alibaba Cloud ecs.ebmgn8is.32xlarge is a high-performance, GPU-accelerated bare-metal server designed for demanding parallel computing workloads. It features 128 dedicated physical cores powered by Intel Xeon 6462C processors running at 3.3 GHz on an x86_64 architecture. The instance is equipped with 1024.0 GB of system memory, yielding 8.0 GB of RAM per core. Graphics and parallel acceleration are driven by eight NVIDIA L20 Ada Lovelace GPUs, providing a total of 384 GB of VRAM. There is no local storage included, requiring external storage solutions, while network performance is supported by a baseline bandwidth of 170 Gbps. This hardware configuration is optimized for large-scale machine learning, deep learning, and high-performance computing workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

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      ecs.ebmgn8is.32xlarge FAQs