ecs.c9ae.16xlarge by Alibaba Cloud
(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 / ID | SPOT | ONDEMAND |
|---|
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.
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
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ecs.c9ae.large | 2 | 4 GiB | 0 |
| ecs.c9ae.xlarge | 4 | 8 GiB | 0 |
| ecs.c9ae.2xlarge | 8 | 16 GiB | 0 |
| ecs.c9ae.4xlarge | 16 | 32 GiB | 0 |
| ecs.c9ae.8xlarge | 32 | 64 GiB | 0 |
| ecs.c9ae.12xlarge | 48 | 96 GiB | 0 |
| ecs.c9ae.24xlarge | 96 | 192 GiB | 0 |
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