ecs.r7a.32xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.r7a.32xlarge |
Description | ecs.r7a family (128 vCPUs, 1024 GiB RAM, 0 GB storage) |
Family | ecs.r7a |
Hw Virt | - |
Status | active |
Observed At | 2026-09-11T07:11:44.680078 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ulanqab (CN) / cn-wulanchabu | 1.1695 USD/h | 5.316 USD/h |
Chengdu (CN) / cn-chengdu | 1.1221 USD/h | 5.906 USD/h |
Beijing (CN) / cn-beijing | - | 5.906 USD/h |
Guangzhou (CN) / cn-guangzhou | - | 5.906 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 5.906 USD/h |
Shanghai (CN) / cn-shanghai | - | 5.906 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 5.906 USD/h |
Frankfurt (DE) / eu-central-1 | 1.9519 USD/h | 7.5072 USD/h |
Jakarta (ID) / ap-southeast-5 | 1.6281 USD/h | 7.942 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 | 1 TB |
| 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 dedicated AMD EPYC instance featuring high memory density and robust network bandwidth for memory-intensive enterprise workloads.
Alibaba Cloud ecs.r7a.32xlarge is a memory-optimized server instance built on the x86_64 architecture and managed via the KVM hypervisor. It is equipped with 128 dedicated physical cores and 128 vCPUs powered by AMD EPYC 7T83 processors running at 2.55 GHz. The system features 1024.0 GB of RAM, providing 8.0 GB of memory per vCPU, but lacks local storage and GPU accelerators. Network performance is anchored by a baseline bandwidth of 32 Gbps. Designed for resource-intensive applications, this instance is configured for workloads such as large-scale in-memory databases, enterprise applications, and heavy data processing tasks that rely on high memory capacity and dedicated CPU allocation rather than local disk I/O.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ecs.r7a.large | 2 | 16 GiB | 0 |
| ecs.r7a.xlarge | 4 | 32 GiB | 0 |
| ecs.r7a.2xlarge | 8 | 64 GiB | 0 |
| ecs.r7a.4xlarge | 16 | 128 GiB | 0 |
| ecs.r7a-nps1.8xlarge | 32 | 256 GiB | 0 |
| ecs.r7a.8xlarge | 32 | 256 GiB | 0 |
| ecs.r7a-nps1.16xlarge | 64 | 512 GiB | 0 |
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