ecs.u1-c1m2.2xlarge by Alibaba Cloud

ecs.u1-c1m2.2xlarge is a ecs.u1 family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0196 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
7,707
(All-cores)
1,810
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m2.2xlarge
Description
ecs.u1 family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-07T16:11:12.152866

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0228 USD/h 0.1519 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0364 USD/h 0.1519 USD/h
Qingdao (CN) / cn-qingdao
0.025 USD/h 0.2173 USD/h
Hangzhou (CN) / cn-hangzhou
0.0304 USD/h 0.2173 USD/h
Shanghai (CN) / cn-shanghai
0.0304 USD/h 0.2173 USD/h
Beijing (CN) / cn-beijing
0.0413 USD/h 0.2173 USD/h
Guangzhou (CN) / cn-guangzhou
0.0413 USD/h 0.2173 USD/h
Chengdu (CN) / cn-chengdu
- 0.2173 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.2173 USD/h
Silicon Valley (US) / us-west-1
0.0683 USD/h 0.2786 USD/h
Frankfurt (DE) / eu-central-1
0.0284 USD/h 0.3154 USD/h
Singapore (SG) / ap-southeast-1
0.074933 USD/h 0.3211 USD/h
London (GB) / eu-west-1
0.0331 USD/h 0.3315 USD/h
Hong Kong (HK) / cn-hongkong
0.0669 USD/h 0.3523 USD/h

Processor

vCPUs
8
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
4.3
Scalability
53.75

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An x86_64 compute instance with eight dedicated vCPUs and sixteen gigabytes of memory for standard web serving and utility workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m2.2xlarge is an x86_64 server instance featuring 8 dedicated vCPUs and 16.0 GB of RAM, powered by a 2.5 GHz Intel Xeon processor. Operating on a KVM hypervisor, it lacks local storage and GPU accelerators, relying on a 2 Gbps baseline network bandwidth. Benchmark results place this instance in the average tier, with a PassMark CPU score of 10387.28 and a multi-core stress-ng score of 7706.71. It handles small-scale workloads efficiently, achieving 7.82 million operations per second in Redis SET tests and 9.01 GB/sec in static web serving. However, resource constraints limit its utility for larger tasks; medium-model LLM inference drops to a weak 7.92 tokens/sec for text generation. This instance is best suited for lightweight database operations, software compilation, and moderate web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.52Score
      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) 854,260 ops/sec 1,933,252 ops/sec 0.45 50.00% 50.00% -33.00%
      Redis RPS (pipeline=16, SET) 5,190,141 ops/sec 11,803,344 ops/sec 0.43 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 1,996 2,407 0.83 10.00% 10.00% -1.80%
      Memory bandwidth (read, 16 MB ~ L3) 60,210 MB/sec 108,651 MB/sec 0.55 10.00% 10.00% -5.80%
      PassMark single-thread CPU 2,347 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,413

      Geekbench Multi-Core

      Score: 5,330

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      10,387
      Compression
      123,437
      Encryption
      4,224
      Extended Instructions
      6,911
      Floating Point Maths
      17,116
      Integer Maths
      33,443
      Physics
      1,347
      Prime Numbers
      73
      Single Threaded
      2,347
      String Sorting
      17,399

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,996
      Database Operations
      4,023
      Memory Latency
      53
      Memory Read Cached
      24,070
      Memory Read Uncached
      9,855
      Memory Write
      10,442

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      279.05 329.46 1.18×
      bitops
      129,155 530,135 4.10×
      branch
      136,636 865,464 6.33×
      funccall
      630.38 2,598 4.12×
      funcret
      11,710 68,445 5.84×
      hash
      150,951 871,258 5.77×
      intmath
      61,031 299,541 4.91×
      nop
      189,497 660,998 3.49×
      prime
      391,205 1,711,272 4.37×
      rotate
      97,431 419,599 4.31×
      str
      848,642 3,786,578 4.46×
      wcs
      610,137 2,119,928 3.47×
      CryptographySingleMultiScaling
      crypt
      2,821 10,499 3.72×
      CompressionSingleMultiScaling
      jpeg
      676.36 3,692 5.46×
      zlib
      47.37 326.45 6.89×
      HypervisorSingleMultiScaling
      clock
      16,082 89,620 5.57×
      clone
      583.25 1,828 3.13×
      context
      2,021 10,494 5.19×
      cpu-sched
      66.27 499.54 7.54×
      eventfd
      48,279 516,265 10.69×
      fault
      15,270 79,872 5.23×
      fork
      5,085 27,937 5.49×
      getrandom
      48,636 227,661 4.68×
      hrtimers
      129,552 847,582 6.54×
      mprotect
      928,488 1,299,574 1.40×
      mtx
      19,189,084 278,780,414 14.53×
      munmap
      3,660 18,815 5.14×
      null
      217,721 1,080,239 4.96×
      pipe
      1,032,372 2,831,175 2.74×
      priv-instr
      464,594 2,368,229 5.10×
      resched
      2,053,740 842,396 0.41×
      switch
      95,899 1,136,610 11.85×
      timermix
      299,445 2,004,496 6.69×
      tlb-shootdown
      13,962 22,353 1.60×
      tsc
      765,131 4,524,789 5.91×
      usersyscall
      328,069 1,653,832 5.04×
      vdso
      92,235,891 468,791,066 5.08×
      vfork
      33,997 141,061 4.15×
      x86syscall
      2,416,411 12,165,778 5.03×
      yield
      4,343,150 4,571,837 1.05×
      zero
      1,878,821 8,559,100 4.56×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,750 75,979 5.15×
      expmath
      2,866 16,804 5.86×
      fma
      549,494 4,371,288 7.96×
      fp
      278.03 1,274 4.58×
      fractal
      5.2 31 5.96×
      hyperbolic
      3,056 18,122 5.93×
      logmath
      4,831 27,937 5.78×
      matrix
      3,462 20,543 5.93×
      matrix-3d
      716.38 2,168 3.03×
      monte-carlo
      117.18 597.03 5.09×
      mpfr
      1,401 6,028 4.30×
      powmath
      1,679 10,007 5.96×
      trig
      1,953 9,959 5.10×
      veccmp
      20,358 77,802 3.82×
      vecfp
      2,033 9,227 4.54×
      vecmath
      3,169 19,131 6.04×
      vecshuf
      878.48 4,706 5.36×
      vecwide
      56,912 269,857 4.74×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 32 4.00×
      bsearch
      248.85 1,317 5.29×
      bubblesort
      1 3.2 3.20×
      fibsearch
      287.35 1,417 4.93×
      heapsort
      9.4 43.6 4.64×
      hsearch
      7,070 33,033 4.67×
      insertionsort
      10.4 25 2.40×
      malloc
      2,558,628 17,625,170 6.89×
      mcontend
      178.49 1,650 9.25×
      mergesort
      26.6 149.2 5.61×
      qsort
      20.6 87 4.22×
      skiplist
      5,402 32,150 5.95×
      tree
      1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      480,977 936,065 1.95×
      cachehammer
      387,769 2,797,893 7.22×
      cacheline
      54.96 468.9 8.53×
      l1cache
      277.97 1,016 3.65×
      memcpy
      403.91 1,595 3.95×
      memrate
      1.76 6.14 3.49×
      memthrash
      205.03 344.44 1.68×
      ptr-chase
      25,406,945 91,403,421 3.60×
      spinmem
      329.99 296.78 0.90×
      stream
      61.01 2,124 34.81×
      vm
      67,950 291,447 4.29×

      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

      INSTANCEvCPUsMEMORYAccelerators
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      ecs.u1-c1m1.xlarge 44 GiB0
      ecs.u1-c1m2.xlarge 48 GiB0
      ecs.u1-c1m4.xlarge 416 GiB0

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      ecs.u1-c1m2.2xlarge FAQs