ecs.c9ae.48xlarge by Alibaba Cloud

ecs.c9ae.48xlarge is a ecs.c9ae family (192 vCPUs, 384 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 192 vCPUs, 384 GiB of memory and 0 GB of storage.
192 vCPU
384 GiB Memory
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c9ae.48xlarge
Description
ecs.c9ae family (192 vCPUs, 384 GiB RAM, 0 GB storage)
Family
ecs.c9ae
Hw Virt
-
Status
active
Observed At
2026-10-16T13:33:29.254486

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
384 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
      128 Gbps
      Network Storage Speed Baseline
      22 Gbps
      Network Storage Speed Max
      100 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A high-density compute instance featuring 192 dedicated AMD EPYC cores and 100 Gbps network bandwidth for parallel processing workloads.

      Compute Optimized

      Alibaba Cloud ecs.c9ae.48xlarge is a compute-optimized virtual machine instance utilizing the KVM hypervisor. It is equipped with 192 dedicated vCPUs powered by AMD EPYC 9T95 processors running at 2.25 GHz on the x86_64 architecture. The hardware configuration provides 384.0 GB of system memory, establishing a 2.0 GB per vCPU ratio. This instance does not feature local storage or integrated GPUs, relying instead on network-attached storage. It delivers a baseline network bandwidth of 100 Gbps to support high-throughput data transfers. The high core count and dedicated CPU allocation make this instance highly cost-efficient for parallelized, compute-heavy tasks. The absence of bundled local storage and GPUs ensures that resource allocation is strictly focused on raw CPU capacity, minimizing unnecessary overhead for pure compute tasks. It is designed for workloads such as high-performance computing, batch processing, scientific simulations, and video encoding.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

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      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.48xlarge FAQs