ecs.gn8is-8x.32xlarge by Alibaba Cloud

ecs.gn8is-8x.32xlarge is a ecs.gn8is 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.gn8is-8x.32xlarge
Description
ecs.gn8is family (128 vCPUs, 1024 GiB RAM, 0 GB storage, 8xL20 49152 GiB VRAM)
Family
ecs.gn8is
Hw Virt
-
Status
active
Observed At
2026-10-24T15:16:59.107798

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
128
Hypervisor
KVM
CPU Allocation
Dedicated
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
ACCELERATORS
Accelerator Count
8
Accelerator Memory Min
48 GiB
Accelerator Memory Total
384 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Ada Lovelace
Accelerator Model
L20
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      100 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A high-density GPU instance featuring eight NVIDIA L20 accelerators and 128 dedicated vCPUs for demanding parallel computing and AI workloads.

      GPU AcceleratedMemory Optimized

      Alibaba Cloud ecs.gn8is-8x.32xlarge is a high-density, GPU-accelerated server instance built on the x86_64 architecture and managed via the KVM hypervisor. It features 128 dedicated Intel Xeon 6462C vCPUs running at a baseline frequency of 3.3 GHz, paired with 1024.0 GB of system memory. The primary hardware highlight is the integration of eight NVIDIA L20 Ada Lovelace GPUs, providing a total of 384 GB of VRAM. The instance does not include local storage, requiring network-attached storage solutions, but compensates with a robust 100 Gbps baseline network bandwidth. This configuration is optimized for parallel computing workloads, making it highly suitable for deep learning, large-scale AI inference, and high-performance computing tasks where massive GPU and memory resources are required.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.gn8is.2xlarge 864 GiB1
      ecs.gn8is.4xlarge 16128 GiB1
      ecs.gn8is-2x.8xlarge 32256 GiB2
      ecs.gn8is-4x.16xlarge 64512 GiB4

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      ecs.gn8is-8x.32xlarge FAQs