ecs.c7a.32xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.c7a.32xlarge |
Description | ecs.c7a family (128 vCPUs, 256 GiB RAM, 0 GB storage) |
Family | ecs.c7a |
Hw Virt | - |
Status | active |
Observed At | 2026-08-10T02:09:33.676764 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ulanqab (CN) / cn-wulanchabu | - | 2.615 USD/h |
Shenzhen (CN) / cn-shenzhen | 0.5521 USD/h | 2.906 USD/h |
Beijing (CN) / cn-beijing | - | 2.906 USD/h |
Chengdu (CN) / cn-chengdu | - | 2.906 USD/h |
Guangzhou (CN) / cn-guangzhou | - | 2.906 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 2.906 USD/h |
Frankfurt (DE) / eu-central-1 | 0.9664 USD/h | 4.3928 USD/h |
Singapore (SG) / ap-southeast-1 | - | 4.7872 USD/h |
Tokyo (JP) / ap-northeast-1 | 0.9923 USD/h | 5.2224 USD/h |
Processor
vCPUs | 128 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 128 |
CPU Speed | 2.55 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | AMD |
CPU Family | EPYC |
CPU Model | 7T83 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 256 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 |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A high-density compute-optimized platform featuring dedicated AMD EPYC processors and a balanced memory-to-core ratio for parallel workloads.
Alibaba Cloud ecs.c7a.32xlarge is a compute-optimized instance utilizing the KVM hypervisor and x86_64 architecture. Powered by an AMD EPYC 7T83 processor running at 2.55 GHz, it provides 128 dedicated physical cores and 128 vCPUs with a single thread per core configuration. The instance features 256.0 GB of system memory, establishing a 2.0 GB per core ratio. It lacks local storage and GPU accelerators, relying on network-attached storage and a baseline network bandwidth of 32 Gbps. This configuration delivers high compute density, making it a cost-efficient option for CPU-bound workloads that do not demand large memory footprints. The instance is suited for parallel processing, scientific modeling, video encoding, and distributed compute tasks that require dedicated, non-shared CPU resources.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ecs.c7a.large | 2 | 4 GiB | 0 |
| ecs.c7a.xlarge | 4 | 8 GiB | 0 |
| ecs.c7a.2xlarge | 8 | 16 GiB | 0 |
| ecs.c7a.4xlarge | 16 | 32 GiB | 0 |
| ecs.c7a-nps1.8xlarge | 32 | 64 GiB | 0 |
| ecs.c7a.8xlarge | 32 | 64 GiB | 0 |
| ecs.c7a-nps1.16xlarge | 64 | 128 GiB | 0 |
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