ecs.c9ae.12xlarge by Alibaba Cloud

ecs.c9ae.12xlarge is a ecs.c9ae family (48 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 48 vCPUs, 96 GiB of memory and 0 GB of storage.
48 vCPU
96 GiB Memory
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c9ae.12xlarge
Description
ecs.c9ae family (48 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.c9ae
Hw Virt
-
Status
active
Observed At
2026-10-06T14:31:55.438016

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
48
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
96 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
      25 Gbps
      Network Speed Max
      32 Gbps
      Network Storage Speed Baseline
      6 Gbps
      Network Storage Speed Max
      25 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A compute-optimized virtual server featuring forty-eight dedicated AMD EPYC cores and twenty-five gigabits per second baseline network bandwidth for processing-heavy workloads.

      Compute Optimized

      Alibaba Cloud ecs.c9ae.12xlarge is a compute-optimized virtual machine instance featuring 48 dedicated vCPUs and 96.0 GB of RAM. Powered by AMD EPYC 9T95 processors running at 2.25 GHz on the x86_64 architecture, this KVM-based instance provides a resource density of 2.0 GB of memory per core. The instance does not include local storage or GPU accelerators, relying instead on network-attached storage options. It delivers a baseline network bandwidth of 25 Gbps to support data-intensive network operations. With its high core count and 1:2 memory-to-CPU ratio, the instance is designed for compute-heavy workloads that do not demand large memory capacities. It is suited for applications such as batch processing, distributed compute tasks, and high-traffic web serving where raw processing power and network throughput are prioritized over local storage or memory density.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

      Servers of the Same Family

      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.16xlarge 64128 GiB0
      ecs.c9ae.24xlarge 96192 GiB0

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      ecs.c9ae.12xlarge FAQs