ecs.u1-c1m4.2xlarge by Alibaba Cloud

ecs.u1-c1m4.2xlarge is a ecs.u1 family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0195 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
7,717
(All-cores)
1,828
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m4.2xlarge
Description
ecs.u1 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-05T11:08:38.344672

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0195 USD/h 0.195 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.195 USD/h
Chengdu (CN) / cn-chengdu
0.0418 USD/h 0.2786 USD/h
Guangzhou (CN) / cn-guangzhou
0.0418 USD/h 0.2786 USD/h
Qingdao (CN) / cn-qingdao
0.04735 USD/h 0.2786 USD/h
Shenzhen (CN) / cn-shenzhen
0.0418 USD/h 0.2786 USD/h
Beijing (CN) / cn-beijing
- 0.2786 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.2786 USD/h
Shanghai (CN) / cn-shanghai
- 0.2786 USD/h
Silicon Valley (US) / us-west-1
0.0821 USD/h 0.3419 USD/h
London (GB) / eu-west-1
0.0592 USD/h 0.3948 USD/h
Frankfurt (DE) / eu-central-1
0.0575 USD/h 0.4108 USD/h
Singapore (SG) / ap-southeast-1
0.07455 USD/h 0.4259 USD/h
Hong Kong (HK) / cn-hongkong
- 0.4684 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
4.2
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 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 general-purpose virtual server with dedicated Intel Xeon processors and balanced memory for standard enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.u1-c1m4.2xlarge is an x86_64 general-purpose instance featuring an Intel Xeon processor with 8 dedicated vCPUs, 4 physical cores, and a 2.5 GHz clock speed. It is equipped with 32.0 GB of RAM, a 33 MB L3 cache, and a baseline network bandwidth of 2 Gbps, but lacks local storage and GPU accelerators. Benchmark data indicates average performance across standard workloads, with a Geekbench multi-core score of 5300.0 and a static web serving throughput of 9.56 GB/sec. However, it exhibits weak performance on larger computational tasks, such as medium-sized LLM inference. This instance is qualitatively cost-efficient for balanced, non-storage-intensive workloads, making it suitable for general-purpose applications, software compilation, Redis deployments, and moderate web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.53Score
      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) 838,023 ops/sec 1,933,252 ops/sec 0.44 50.00% 50.00% -34.00%
      Redis RPS (pipeline=16, SET) 5,112,795 ops/sec 11,794,699 ops/sec 0.42 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 2,524 2,408 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 63,261 MB/sec 108,490 MB/sec 0.57 10.00% 10.00% -5.50%
      PassMark single-thread CPU 2,346 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,417

      Geekbench Multi-Core

      Score: 5,300

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      10,428
      Compression
      126,038
      Encryption
      4,230
      Extended Instructions
      6,922
      Floating Point Maths
      17,116
      Integer Maths
      33,406
      Physics
      1,366
      Prime Numbers
      71
      Single Threaded
      2,346
      String Sorting
      17,551

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,524
      Database Operations
      4,032
      Memory Latency
      53
      Memory Read Cached
      24,013
      Memory Read Uncached
      12,447
      Memory Write
      11,427

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      284.97 334.87 1.18×
      bitops
      129,367 529,912 4.10×
      branch
      136,505 865,922 6.34×
      funccall
      629.9 2,604 4.13×
      funcret
      11,662 68,725 5.89×
      hash
      150,979 873,190 5.78×
      intmath
      61,033 300,965 4.93×
      nop
      190,131 662,579 3.48×
      prime
      390,326 1,714,003 4.39×
      rotate
      97,396 421,628 4.33×
      str
      854,536 3,673,999 4.30×
      wcs
      619,708 2,117,728 3.42×
      CryptographySingleMultiScaling
      crypt
      2,816 10,490 3.72×
      CompressionSingleMultiScaling
      jpeg
      680.87 3,668 5.39×
      zlib
      46.46 368.14 7.92×
      HypervisorSingleMultiScaling
      clock
      16,059 89,254 5.56×
      clone
      590.59 1,811 3.07×
      context
      2,011 10,491 5.22×
      cpu-sched
      65.09 498.72 7.66×
      eventfd
      47,100 514,658 10.93×
      fault
      15,587 79,435 5.10×
      fork
      5,020 27,713 5.52×
      getrandom
      48,582 227,630 4.69×
      hrtimers
      150,729 841,056 5.58×
      mprotect
      906,672 1,307,172 1.44×
      mtx
      19,370,750 271,826,507 14.03×
      munmap
      3,658 18,817 5.14×
      null
      219,394 1,079,574 4.92×
      pipe
      989,187 2,824,936 2.86×
      priv-instr
      460,192 2,347,200 5.10×
      resched
      2,059,370 734,554 0.36×
      switch
      79,561 1,132,303 14.23×
      timermix
      298,811 1,987,047 6.65×
      tlb-shootdown
      11,486 21,943 1.91×
      tsc
      765,102 4,522,738 5.91×
      usersyscall
      325,392 1,651,038 5.07×
      vdso
      92,073,592 468,991,816 5.09×
      vfork
      33,952 140,353 4.13×
      x86syscall
      2,455,829 12,154,929 4.95×
      yield
      4,334,419 4,231,825 0.98×
      zero
      1,865,507 8,660,346 4.64×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,748 76,535 5.19×
      expmath
      2,863 16,822 5.87×
      fma
      548,971 4,475,028 8.15×
      fp
      276.86 1,270 4.59×
      fractal
      5.2 31 5.96×
      hyperbolic
      3,056 18,049 5.91×
      logmath
      4,830 27,928 5.78×
      matrix
      3,466 21,067 6.08×
      matrix-3d
      733.2 2,203 3.01×
      monte-carlo
      117.25 596.72 5.09×
      mpfr
      1,395 6,034 4.33×
      powmath
      1,679 9,991 5.95×
      trig
      1,953 9,968 5.11×
      veccmp
      20,322 77,760 3.83×
      vecfp
      2,031 9,242 4.55×
      vecmath
      3,161 19,146 6.06×
      vecshuf
      877.06 4,706 5.37×
      vecwide
      56,973 269,860 4.74×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 32 4.00×
      bsearch
      249.53 1,316 5.27×
      bubblesort
      1 3.2 3.20×
      fibsearch
      287.03 1,411 4.92×
      heapsort
      9.4 43.2 4.60×
      hsearch
      7,046 32,771 4.65×
      insertionsort
      10.4 25.2 2.42×
      malloc
      2,662,211 17,520,911 6.58×
      mcontend
      173.49 1,671 9.63×
      mergesort
      26.6 150 5.64×
      qsort
      20.6 86.8 4.21×
      skiplist
      5,416 31,919 5.89×
      tree
      1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      552,501 876,073 1.59×
      cachehammer
      384,739 2,753,287 7.16×
      cacheline
      56.66 500.27 8.83×
      l1cache
      278.02 1,016 3.65×
      memcpy
      404.07 1,593 3.94×
      memrate
      1.76 7.13 4.05×
      memthrash
      154.23 348.5 2.26×
      ptr-chase
      34,137,413 98,885,257 2.90×
      spinmem
      331.79 571.38 1.72×
      stream
      17.75 576.9 32.50×
      vm
      67,757 291,459 4.30×

      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
      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-c1m2.xlarge 48 GiB0
      ecs.u1-c1m4.xlarge 416 GiB0

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      ecs.u1-c1m4.2xlarge FAQs