(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 | 2026-10-29T17:13:44.339440 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ulanqab (CN) / cn-wulanchabu | - | 2.615 USD/h |
Chengdu (CN) / cn-chengdu | 0.6393 USD/h | 2.906 USD/h |
Shenzhen (CN) / cn-shenzhen | 0.6393 USD/h | 2.906 USD/h |
Beijing (CN) / cn-beijing | - | 2.906 USD/h |
Guangzhou (CN) / cn-guangzhou | - | 2.906 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 2.906 USD/h |
Shanghai (CN) / cn-shanghai | - | 2.906 USD/h |
Frankfurt (DE) / eu-central-1 | 0.8346 USD/h | 4.3928 USD/h |
Virginia (US) / us-east-1 | 0.8349 USD/h | 4.3943 USD/h |
Singapore (SG) / ap-southeast-1 | 1.0532 USD/h | 4.7872 USD/h |
Tokyo (JP) / ap-northeast-1 | 1.1489 USD/h | 5.2224 USD/h |
Processor
vCPUs | 128 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
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 |
| 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 | 32 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
High-density compute instance with 128 dedicated AMD EPYC vCPUs and a 1:2 RAM-to-vCPU ratio for compute-bound parallel workloads.
Alibaba Cloud ecs.c7a.32xlarge is a compute-optimized x86_64 server instance running on the KVM hypervisor. Powered by an AMD EPYC 7T83 processor clocked at 2.55 GHz, it provides 128 dedicated vCPUs alongside 256.0 GB of RAM, offering a 1:2 memory-to-vCPU ratio with 2.0 GB per core. The instance does not include integrated local disk storage or hardware GPU acceleration, relying on network-attached storage and a 32 Gbps baseline network bandwidth for data throughput. The high core density and dedicated virtual CPU allocation make it suitable for compute-intensive parallel tasks, continuous integration and software compilation pipelines, batch processing jobs, and microservices infrastructure where high processing throughput is prioritized over large memory allocations.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| 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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