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ecs.c9ae.16xlarge by Alibaba Cloud

ecs.c9ae.16xlarge is a ecs.c9ae family (64 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 64 vCPUs, 128 GiB of memory and 0 GB of storage.
64 vCPU
128 GiB Memory
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c9ae.16xlarge
Description
ecs.c9ae family (64 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.c9ae
Hw Virt
-
Status
active
Observed At
2026-07-30T17:48:20.740629

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
64
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
64
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
128 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
      32 Gbps
      Network Speed Max
      40 Gbps
      Network Storage Speed Baseline
      8 Gbps
      Network Storage Speed Max
      32 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A compute-optimized instance featuring sixty-four dedicated AMD EPYC cores, two gigabytes of RAM per core, and thirty-two gigabits network bandwidth.

      Compute Optimized

      Alibaba Cloud ecs.c9ae.16xlarge is a compute-optimized instance built on the KVM hypervisor and the x86_64 architecture. It features 64 dedicated vCPUs powered by an AMD EPYC 9T95 processor running at 2.25 GHz, with a 1.0 thread-per-core configuration that ensures dedicated physical core allocation. The instance is provisioned with 128.0 GB of RAM, yielding a 2.0 GB per core memory ratio. It contains no local storage or integrated GPUs, relying entirely on network-attached storage options. Network performance is supported by a baseline bandwidth of 32 Gbps. This resource configuration is designed for compute-intensive tasks, offering high CPU density and dedicated processing power. It is suited for workloads such as batch processing, high-performance computing, and compute-heavy web serving where dedicated CPU execution is required without the overhead of local storage or GPU hardware.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

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      INSTANCEvCPUsMEMORYGPUs
      ecs.c9ae.large 24 GiB0
      ecs.c9ae.xlarge 48 GiB0
      ecs.c9ae.2xlarge 816 GiB0
      ecs.c9ae.4xlarge 1632 GiB0
      ecs.c9ae.8xlarge 3264 GiB0
      ecs.c9ae.12xlarge 4896 GiB0
      ecs.c9ae.24xlarge 96192 GiB0

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      ecs.c9ae.16xlarge FAQs