ecs.c8y.16xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.c8y.16xlarge |
Description | ecs.c8y family (64 vCPUs, 128 GiB RAM, 0 GB storage) |
Family | ecs.c8y |
Hw Virt | |
Status | active |
Observed At | 2026-08-11T00:23:55.502492 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ulanqab (CN) / cn-wulanchabu | - | 1.19 USD/h |
Guangzhou (CN) / cn-guangzhou | 0.3438 USD/h | 1.3222 USD/h |
Beijing (CN) / cn-beijing | - | 1.3222 USD/h |
Chengdu (CN) / cn-chengdu | - | 1.3222 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 1.3222 USD/h |
Shanghai (CN) / cn-shanghai | - | 1.3222 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 1.3222 USD/h |
Singapore (SG) / ap-southeast-1 | 0.4772 USD/h | 2.5114 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 |
CPU L1D Cache | 64 KiB |
CPU L1D Cache Total | 4 MiB |
CPU L1I Cache | 64 KiB |
CPU L1I Cache Total | 4 MiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 64 MiB |
CPU L3 Cache | 64 MiB |
CPU L3 Cache Total | 64 MiB |
CPU Flags | fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, jscvt, fcma, lrcpc, dcpop, sha3, sm3, sm4, asimddp, sha512, sve, asimdfhm, dit, uscat, ilrcpc, flagm, ssbs, sb, dcpodp, sve2, sveaes, svepmull, svebitperm, svesha3, svesm4, flagm2, frint, svei8mm, svebf16, i8mm, bf16, dgh, bti |
Ecpus | 63.2 |
Scalability | 98.75 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 128 GiB |
Memory Amount Actual | 128 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 |
CPU and System Topology
Server Description
An arm64 compute-optimized server featuring sixty-four dedicated cores and high memory bandwidth for demanding multi-threaded and database workloads.
Alibaba Cloud ecs.c8y.16xlarge is an arm64 compute-optimized server powered by a 64-core Alibaba YiTian710 processor running at 2.75 GHz. It features 128.0 GB of RAM, providing a 1:2 vCPU-to-memory ratio, and lacks local storage and GPU hardware. The instance delivers 32 Gbps of baseline network bandwidth. In benchmark testing, the server demonstrates strong multi-core capabilities, including a multi-core stress-ng score of 114685.05 and a top-tier PassMark memory score of 3017.93. Database performance is also strong, highlighted by 94.6 million operations per second in Redis SET tests. With its dedicated arm64 cores and high memory bandwidth, this instance is configured for multi-threaded workloads, database operations, and web serving, offering a resource-dense profile without the overhead of local storage.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 37273 |
Compression | 378523 |
Encryption | 10360 |
Extended Instructions | 49659 |
Floating Point Maths | 293103 |
Integer Maths | 349989 |
Physics | 6347 |
Prime Numbers | 323 |
Single Threaded | 1642 |
String Sorting | 230302 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 3018 |
Database Operations | 27692 |
Memory Latency | 58 |
Memory Read Cached | 22292 |
Memory Read Uncached | 19312 |
Memory Write | 22464 |
Stress-ng Raw Scores
Stress-ng Relative Multicore Performance
LLM Inference Speed for Prompt Processing
LLM Inference Speed for Text Generation
Static Web Server
Redis
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ecs.c8y.small | 1 | 2 GiB | 0 |
| ecs.c8y.large | 2 | 4 GiB | 0 |
| ecs.c8y.xlarge | 4 | 8 GiB | 0 |
| ecs.c8y.2xlarge | 8 | 16 GiB | 0 |
| ecs.c8y.4xlarge | 16 | 32 GiB | 0 |
| ecs.c8y.8xlarge | 32 | 64 GiB | 0 |
Similar Servers
| INSTANCE | VENDOR | vCPUs | MEMORY | GPUs |
|---|