ecs.u1-c1m2.8xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.u1-c1m2.8xlarge |
Description | ecs.u1 family (32 vCPUs, 64 GiB RAM, 0 GB storage) |
Family | ecs.u1 |
Hw Virt | |
Status | active |
Observed At | 2026-08-04T07:45:43.837573 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Heyuan (CN) / cn-heyuan | 0.0704 USD/h | 0.7824 USD/h |
Ulanqab (CN) / cn-wulanchabu | - | 0.7824 USD/h |
Qingdao (CN) / cn-qingdao | 0.1434 USD/h | 0.8693 USD/h |
Shanghai (CN) / cn-shanghai | 0.0782 USD/h | 0.8693 USD/h |
Chengdu (CN) / cn-chengdu | 0.0869 USD/h | 0.8693 USD/h |
Beijing (CN) / cn-beijing | 0.1304 USD/h | 0.8693 USD/h |
Guangzhou (CN) / cn-guangzhou | - | 0.8693 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 0.8693 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 0.8693 USD/h |
Frankfurt (DE) / eu-central-1 | 0.1516 USD/h | 1.2637 USD/h |
London (GB) / eu-west-1 | 0.1989 USD/h | 1.326 USD/h |
Processor
vCPUs | 32 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 32 |
CPU Speed | 2.5 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU L1D Cache | 32 KiB |
CPU L1D Cache Total | 512 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 512 KiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 16 MiB |
CPU L3 Cache | 33 MiB |
CPU L3 Cache Total | 33 MiB |
CPU Flags | fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat |
Ecpus | 21.3 |
Scalability | 66.56 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 64 GiB |
Memory Amount Actual | 64 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 | 10 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
A dedicated 32-core x86_64 compute platform with a 1:2 memory-to-core ratio, optimized for parallelized multi-threaded workloads.
Alibaba Cloud ecs.u1-c1m2.8xlarge is an x86_64 compute-oriented server featuring 32 dedicated Intel Xeon physical cores and vCPUs running at 2.5 GHz. Equipped with 64.0 GB of RAM, it provides a 1:2 vCPU-to-RAM ratio, with no local storage or GPU accelerators. Network performance is anchored by a 10 Gbps baseline bandwidth. Performance benchmarks reveal a contrast between weak single-core execution and average multi-core capabilities, as demonstrated in stress-ng and Geekbench multi-threaded tests. Memory bandwidth and database operations also align with mid-range performance tiers. This hardware profile is qualitatively cost-efficient for parallelized workloads that benefit from high core counts but do not require extensive memory per core. It is suited for multi-threaded software compilation, static web serving, and parallel data processing.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 27163 |
Compression | 431674 |
Encryption | 12949 |
Extended Instructions | 26091 |
Floating Point Maths | 50265 |
Integer Maths | 93657 |
Physics | 2347 |
Prime Numbers | 138 |
Single Threaded | 1966 |
String Sorting | 56860 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2536 |
Database Operations | 10860 |
Memory Latency | 53 |
Memory Read Cached | 22646 |
Memory Read Uncached | 10005 |
Memory Write | 9834 |
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.u1-c1m1.large | 2 | 2 GiB | 0 |
| ecs.u1-c1m2.large | 2 | 4 GiB | 0 |
| ecs.u1-c1m4.large | 2 | 8 GiB | 0 |
| ecs.u1-c1m8.large | 2 | 16 GiB | 0 |
| ecs.u1-c1m1.xlarge | 4 | 4 GiB | 0 |
| ecs.u1-c1m2.xlarge | 4 | 8 GiB | 0 |
| ecs.u1-c1m4.xlarge | 4 | 16 GiB | 0 |
Similar Servers
| INSTANCE | VENDOR | vCPUs | MEMORY | GPUs |
|---|