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ecs.c9ae.24xlarge by Alibaba Cloud

ecs.c9ae.24xlarge is a ecs.c9ae family (96 vCPUs, 192 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 96 vCPUs, 192 GiB of memory and 0 GB of storage.
96 vCPU
192 GiB Memory
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c9ae.24xlarge
Description
ecs.c9ae family (96 vCPUs, 192 GiB RAM, 0 GB storage)
Family
ecs.c9ae
Hw Virt
-
Status
active
Observed At
2026-07-30T03:27:34.769582

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
96
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
96
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
192 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      50 Gbps
      Network Speed Max
      64 Gbps
      Network Storage Speed Baseline
      11 Gbps
      Network Storage Speed Max
      50 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A dedicated ninety-six core AMD EPYC compute instance with a two gigabytes per core memory ratio and fifty gigabits network bandwidth.

      Compute Optimized

      Alibaba Cloud ecs.c9ae.24xlarge is a compute-optimized instance featuring 96 dedicated physical cores powered by AMD EPYC 9T95 processors running at 2.25 GHz on the x86_64 architecture. Operating under the KVM hypervisor, this instance provides a 1.0 thread-per-core configuration, ensuring dedicated CPU allocation without hyperthreading. It is equipped with 192.0 GB of system memory, establishing a 2.0 GB per core ratio. The instance does not include local storage or GPU accelerators, relying instead on network-attached storage and offering a baseline network bandwidth of 50 Gbps. This resource profile is designed for highly parallel, CPU-bound workloads. It is qualitatively cost-efficient for deployments requiring dense, dedicated compute resources without the added cost of bundled local storage or graphics hardware. Suitable workloads include high-performance computing, batch processing, and parallelized compilation tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

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      INSTANCEvCPUsMEMORYGPUs
      ecs.c9ae.large 24 GiB0
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      ecs.c9ae.2xlarge 816 GiB0
      ecs.c9ae.4xlarge 1632 GiB0
      ecs.c9ae.8xlarge 3264 GiB0
      ecs.c9ae.12xlarge 4896 GiB0
      ecs.c9ae.16xlarge 64128 GiB0

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      ecs.c9ae.24xlarge FAQs