ecs.ebmg9ae.48xlarge by Alibaba Cloud

ecs.ebmg9ae.48xlarge is a ecs.ebmg9ae family (192 vCPUs, 768 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 192 vCPUs, 768 GiB of memory and 0 GB of storage.
192 vCPU
768 GiB Memory
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.ebmg9ae.48xlarge
Description
ecs.ebmg9ae family (192 vCPUs, 768 GiB RAM, 0 GB storage)
Family
ecs.ebmg9ae
Hw Virt
-
Status
active
Observed At
2026-10-25T01:16:02.688393

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
192
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Speed
2.25 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9T95

System Resources and Accelerators

MEMORY
Memory Amount
768 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      100 Gbps
      Network Speed Max
      145 Gbps
      Network Storage Speed Baseline
      5 Gbps
      Network Storage Speed Max
      100 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A high-density, dedicated compute platform featuring 192 AMD EPYC cores and 100 Gbps networking for massive parallel workloads.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.ebmg9ae.48xlarge is a high-density general-purpose instance featuring 192 dedicated vCPUs powered by AMD EPYC 9T95 processors running at 2.25 GHz on an x86_64 architecture. It is configured with 768.0 GB of RAM, providing a balanced 4.0 GB of memory per core. The instance operates on the KVM hypervisor and includes a 100 Gbps baseline network bandwidth for high-throughput connectivity. It does not contain local storage or onboard GPUs, making it reliant on network-attached storage. This configuration is designed for large-scale enterprise applications, high-concurrency web serving, and distributed processing workloads requiring massive parallel compute capacity and predictable, dedicated resource allocation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

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      ecs.ebmg9ae.48xlarge FAQs