ecs.c8y.2xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.c8y.2xlarge |
Description | ecs.c8y family (8 vCPUs, 16 GiB RAM, 0 GB storage) |
Family | ecs.c8y |
Hw Virt | |
Status | active |
Observed At | 2026-07-30T12:03:08.391393 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ulanqab (CN) / cn-wulanchabu | 0.0312 USD/h | 0.1487 USD/h |
Chengdu (CN) / cn-chengdu | 0.0314 USD/h | 0.1652 USD/h |
Guangzhou (CN) / cn-guangzhou | 0.0314 USD/h | 0.1652 USD/h |
Beijing (CN) / cn-beijing | 0.0363 USD/h | 0.1652 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 0.1652 USD/h |
Shanghai (CN) / cn-shanghai | - | 0.1652 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 0.1652 USD/h |
Singapore (SG) / ap-southeast-1 | - | 0.3139 USD/h |
Processor
vCPUs | 8 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 8 |
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 | 512 KiB |
CPU L1I Cache | 64 KiB |
CPU L1I Cache Total | 512 KiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 8 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 | 8 |
Scalability | 100 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 16 GiB |
Memory Amount Actual | 16 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 | 5 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
An Arm64 compute-optimized virtual server featuring dedicated physical cores for efficient web serving and high-throughput key-value store workloads.
Alibaba Cloud ecs.c8y.2xlarge is an Arm64 compute-optimized instance featuring 8 dedicated physical cores of an Alibaba Yitian710 processor running at 2.75 GHz, paired with 16.0 GB of RAM. Running on the KVM hypervisor, this server lacks local storage and GPU accelerators but provides a baseline network bandwidth of 5 Gbps. Benchmark data indicates average performance across standard compute and memory tasks, with a stress-ng multi-core score of 14489.92 and a cached read memory bandwidth of 820.26 GB/sec. While cryptographic performance is weak, the instance excels in high-throughput scenarios, delivering 13.18 million Redis SET operations per second and 12.71 GB/sec in static web serving. It represents a resource-dense, cost-efficient option for scale-out workloads, web serving, and lightweight Arm-native applications.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 6804 |
Compression | 47429 |
Encryption | 1321 |
Extended Instructions | 6270 |
Floating Point Maths | 37091 |
Integer Maths | 44215 |
Physics | 2205 |
Prime Numbers | 103 |
Single Threaded | 1641 |
String Sorting | 35203 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2264 |
Database Operations | 8352 |
Memory Latency | 61 |
Memory Read Cached | 22517 |
Memory Read Uncached | 17586 |
Memory Write | 21252 |
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.4xlarge | 16 | 32 GiB | 0 |
| ecs.c8y.8xlarge | 32 | 64 GiB | 0 |
| ecs.c8y.16xlarge | 64 | 128 GiB | 0 |
Similar Servers
| INSTANCE | VENDOR | vCPUs | MEMORY | GPUs |
|---|