(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 | 2026-10-26T17:29:26.541123 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ulanqab (CN) / cn-wulanchabu | 1.08975 USD/h | 5.316 USD/h |
Shanghai (CN) / cn-shanghai | 1.1221 USD/h | 5.906 USD/h |
Guangzhou (CN) / cn-guangzhou | 1.2993 USD/h | 5.906 USD/h |
Beijing (CN) / cn-beijing | - | 5.906 USD/h |
Chengdu (CN) / cn-chengdu | - | 5.906 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 5.906 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 5.906 USD/h |
Virginia (US) / us-east-1 | 1.4331 USD/h | 6.5142 USD/h |
Frankfurt (DE) / eu-central-1 | 1.4264 USD/h | 7.5072 USD/h |
Jakarta (ID) / ap-southeast-5 | - | 7.942 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 | 1 TB |
| 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
A high-density memory-optimized virtual instance featuring dedicated AMD processors and substantial memory capacity for demanding enterprise database workloads.
Alibaba Cloud ecs.r7a.32xlarge is a memory-optimized virtual machine instance built on the KVM hypervisor and powered by an AMD EPYC 7T83 processor. Operating at a clock speed of 2.55 GHz on the x86_64 architecture, this instance delivers 128 dedicated vCPUs and 1024.0 GB of RAM, establishing a high-density 8.0 GB memory-to-core ratio. It features a baseline network bandwidth of 32 Gbps but does not include local storage or integrated GPUs. This hardware profile is qualitatively cost-efficient for memory-bound enterprise workloads, minimizing resource overhead for large-scale data processing. The ecs.r7a.32xlarge is engineered for demanding workloads such as in-memory databases, large-scale caching layers, enterprise resource planning systems, and real-time data analytics.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| 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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