ecs.u1-c1m2.xlarge by Alibaba Cloud

ecs.u1-c1m2.xlarge is a ecs.u1 family (4 vCPUs, 8 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 4 vCPUs, 8 GiB of memory and 0 GB of storage. The pricing starts at 0.0106 USD per hour.
4 vCPU
8 GiB Memory
Spare SCore
3,848
(All-cores)
1,827
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m2.xlarge
Description
ecs.u1 family (4 vCPUs, 8 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-09-06T21:53:23.539057

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0106 USD/h 0.0759 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.0759 USD/h
Guangzhou (CN) / cn-guangzhou
0.0163 USD/h 0.1087 USD/h
Hangzhou (CN) / cn-hangzhou
0.0163 USD/h 0.1087 USD/h
Shenzhen (CN) / cn-shenzhen
0.0163 USD/h 0.1087 USD/h
Qingdao (CN) / cn-qingdao
0.0239 USD/h 0.1087 USD/h
Shanghai (CN) / cn-shanghai
0.0217 USD/h 0.1087 USD/h
Beijing (CN) / cn-beijing
- 0.1087 USD/h
Chengdu (CN) / cn-chengdu
- 0.1087 USD/h
Silicon Valley (US) / us-west-1
0.0335 USD/h 0.1398 USD/h
Frankfurt (DE) / eu-central-1
0.0158 USD/h 0.1577 USD/h
Singapore (SG) / ap-southeast-1
0.026233 USD/h 0.1606 USD/h
London (GB) / eu-west-1
0.02075 USD/h 0.1662 USD/h
Hong Kong (HK) / cn-hongkong
- 0.1766 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 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, cpuid_fault, 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
2.1
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
8 GiB
Memory Amount Actual
8 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
      1.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A budget-friendly dedicated compute instance featuring four Intel Xeon cores and a compact memory footprint for single-threaded utility workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m2.xlarge is a KVM-based x86_64 virtual machine featuring 4 dedicated Intel Xeon vCPUs running at 2.5 GHz and 8.0 GB of system memory. Lacking local storage and GPU accelerators, it relies on network-attached storage and features a baseline network bandwidth of 2 Gbps. Benchmark data reveals average single-core CPU performance, but weak multi-core scaling and memory bandwidth, both ranking in the bottom 25%. Single-threaded compression tasks perform adequately, whereas multi-threaded operations show significant performance drop-offs. This hardware profile represents a cost-effective entry point for dedicated compute resources where memory capacity is not a primary constraint. It is best suited for lightweight single-threaded applications, basic web serving, utility scripting, and non-intensive development environments.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.293Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 412,218 ops/sec 1,917,397 ops/sec 0.215 50.00% 50.00% -53.60%
      Redis RPS (pipeline=16, SET) 2,438,128 ops/sec 11,681,410 ops/sec 0.209 20.00% 20.00% -26.90%
      PassMark Memory Mark (composite) 1,665 2,418 0.689 10.00% 10.00% -3.66%
      Memory bandwidth (read, 16 MB ~ L3) 36,329 MB/sec 108,140 MB/sec 0.336 10.00% 10.00% -10.30%
      PassMark single-thread CPU 2,387 Mops/s 2,365 Mops/s 1.01 10.00% 10.00% +0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,391

      Geekbench Multi-Core

      Score: 2,970

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 5352
      Compression
      		 62676
      Encryption
      		 2100
      Extended Instructions
      		 3378
      Floating Point Maths
      		 8532
      Integer Maths
      		 16658
      Physics
      		 707
      Prime Numbers
      		 36
      Single Threaded
      		 2387
      String Sorting
      		 8740

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1665
      Database Operations
      		 2020
      Memory Latency
      		 55
      Memory Read Cached
      		 23978
      Memory Read Uncached
      		 11292
      Memory Write
      		 10443

      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

      INSTANCEvCPUsMEMORYGPUs
      ecs.u1-c1m1.large 22 GiB0
      ecs.u1-c1m2.large 24 GiB0
      ecs.u1-c1m4.large 28 GiB0
      ecs.u1-c1m8.large 216 GiB0
      ecs.u1-c1m1.xlarge 44 GiB0
      ecs.u1-c1m4.xlarge 416 GiB0
      ecs.u1-c1m8.xlarge 432 GiB0

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      ecs.u1-c1m2.xlarge FAQs