ecs.r8y.16xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.r8y.16xlarge |
Description | ecs.r8y family (64 vCPUs, 512 GiB RAM, 0 GB storage) |
Family | ecs.r8y |
Hw Virt | - |
Status | active |
Observed At | 2026-07-30T20:21:49.591678 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Chengdu (CN) / cn-chengdu | 0.6719 USD/h | 2.6877 USD/h |
Guangzhou (CN) / cn-guangzhou | 0.6719 USD/h | 2.6877 USD/h |
Beijing (CN) / cn-beijing | - | 2.6877 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 2.6877 USD/h |
Shanghai (CN) / cn-shanghai | - | 2.6877 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 2.6877 USD/h |
Singapore (SG) / ap-southeast-1 | - | 3.8959 USD/h |
Processor
vCPUs | 64 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 64 |
CPU Speed | 2.75 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | Alibaba |
CPU Family | Yitian |
CPU Model | YiTian710 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 512 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
An ARM-powered, memory-optimized instance featuring sixty-four dedicated cores and half a terabyte of RAM for demanding enterprise databases.
Alibaba Cloud ecs.r8y.16xlarge is an ARM-based, memory-optimized instance powered by the KVM hypervisor. It features 64 dedicated physical cores on the custom Alibaba YiTian710 processor running at 2.75 GHz, with a 1.0 thread-per-core configuration that ensures dedicated compute allocation. The instance is configured with 512.0 GB of RAM, establishing a high 1:8 vCPU-to-memory ratio of 8.0 GB per core. It does not include local storage, relying on network-attached storage, and provides a baseline network bandwidth of 32 Gbps. Utilizing the energy-efficient ARM64 architecture, this instance offers high resource density and qualitative cost efficiency for memory-intensive deployments. It is optimized for workloads such as in-memory databases, caching layers, data analytics, and enterprise applications requiring substantial memory capacity and dedicated CPU resources.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ecs.r8y.small | 1 | 8 GiB | 0 |
| ecs.r8y.large | 2 | 16 GiB | 0 |
| ecs.r8y.xlarge | 4 | 32 GiB | 0 |
| ecs.r8y.2xlarge | 8 | 64 GiB | 0 |
| ecs.r8y.4xlarge | 16 | 128 GiB | 0 |
| ecs.r8y.8xlarge | 32 | 256 GiB | 0 |
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