ecs.u1-c1m2.8xlarge by Alibaba Cloud

ecs.u1-c1m2.8xlarge is a ecs.u1 family (32 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.0704 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
28,023
(All-cores)
1,314
(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
2026-11-02T15:17:44.457077

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0939 USD/h 0.7824 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.7824 USD/h
Qingdao (CN) / cn-qingdao
0.14775 USD/h 0.8693 USD/h
Beijing (CN) / cn-beijing
- 0.8693 USD/h
Chengdu (CN) / cn-chengdu
- 0.8693 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.8693 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.8693 USD/h
Shanghai (CN) / cn-shanghai
- 0.8693 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.8693 USD/h
Frankfurt (DE) / eu-central-1
- 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
16
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
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
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated 32-vCPU compute-focused instance balancing multi-threaded processing capabilities with a 1:2 memory-to-core ratio and no local storage.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m2.8xlarge is an x86_64 compute-optimized server instance featuring 32 dedicated vCPUs and 64.0 GB of RAM, powered by an Intel Xeon processor at 2.5 GHz. Operating under the KVM hypervisor, it lacks local storage and GPU accelerators, utilizing a 10 Gbps baseline network interface. Performance benchmarks indicate a distinct tradeoff: single-core execution is weak, placing in the bottom 25%, while multi-core performance, memory bandwidth, and database operations consistently achieve average, mid-tier results. This hardware profile is suited for parallelized workloads such as multi-threaded software compilation, image processing, and Redis database operations that can utilize the 32 vCPUs effectively, offering a qualitative balance of compute density without the added cost of local storage or specialized accelerators.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.3Score
      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) 2,881,348 ops/sec 1,918,343 ops/sec 1.5 50.00% 50.00% +22.00%
      Redis RPS (pipeline=16, SET) 16,321,996 ops/sec 11,704,734 ops/sec 1.3 20.00% 20.00% +5.40%
      PassMark Memory Mark (composite) 2,536 2,415 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 117,139 MB/sec 108,466 MB/sec 1.1 10.00% 10.00% +0.96%
      PassMark single-thread CPU 1,966 Mops/s 2,365 Mops/s 0.83 10.00% 10.00% -1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,085

      Geekbench Multi-Core

      Score: 9,949

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 27,163
      Compression
      		 431,674
      Encryption
      		 12,949
      Extended Instructions
      		 26,091
      Floating Point Maths
      		 50,265
      Integer Maths
      		 93,657
      Physics
      		 2,347
      Prime Numbers
      		 138
      Single Threaded
      		 1,966
      String Sorting
      		 56,860

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,536
      Database Operations
      		 10,860
      Memory Latency
      		 53
      Memory Read Cached
      		 22,646
      Memory Read Uncached
      		 10,005
      Memory Write
      		 9,834

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 218.4 188.3 0.86×
      bitops
      		 119,021 2,100,734 17.65×
      branch
      		 144,977 3,522,258 24.30×
      funccall
      		 532.02 8,976 16.87×
      funcret
      		 10,803 251,133 23.25×
      hash
      		 122,892 2,904,149 23.63×
      intmath
      		 21,385 518,014 24.22×
      nop
      		 179,980 2,495,262 13.86×
      prime
      		 306,317 5,459,498 17.82×
      rotate
      		 90,869 1,829,929 20.14×
      str
      		 781,438 15,973,669 20.44×
      wcs
      		 490,265 8,594,601 17.53×
      CryptographySingleMultiScaling
      crypt
      		 2,294 35,820 15.62×
      CompressionSingleMultiScaling
      jpeg
      		 559.45 10,832 19.36×
      zlib
      		 40.54 1,242 30.65×
      HypervisorSingleMultiScaling
      clock
      		 15,158 271,427 17.91×
      clone
      		 426.86 6,195 14.51×
      context
      		 1,788 38,229 21.38×
      cpu-sched
      		 56.71 1,993 35.15×
      eventfd
      		 51,066 785,783 15.39×
      fault
      		 12,695 198,958 15.67×
      fork
      		 3,758 62,974 16.76×
      getrandom
      		 42,314 840,760 19.87×
      hrtimers
      		 208,945 2,742,792 13.13×
      mprotect
      		 1,038,599 4,569,522 4.40×
      mtx
      		 12,448,991 892,871,588 71.72×
      munmap
      		 2,686 46,221 17.21×
      null
      		 192,569 3,810,856 19.79×
      pipe
      		 913,312 7,672,136 8.40×
      priv-instr
      		 406,771 8,396,700 20.64×
      resched
      		 4,793,062 2,670,831 0.56×
      switch
      		 81,427 1,450,639 17.82×
      timermix
      		 331,954 7,492,719 22.57×
      tlb-shootdown
      		 10,661 57,856 5.43×
      tsc
      		 936,908 21,072,670 22.49×
      usersyscall
      		 283,735 5,871,180 20.69×
      vdso
      		 76,241,447 2,159,277,992 28.32×
      vfork
      		 29,276 144,336 4.93×
      x86syscall
      		 2,152,116 42,600,851 19.79×
      yield
      		 15,129,500 16,899,421 1.12×
      zero
      		 1,462,129 27,846,785 19.05×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,316 297,921 19.45×
      expmath
      		 2,524 62,049 24.59×
      fma
      		 521,104 14,467,214 27.76×
      fp
      		 156 3,721 23.85×
      fractal
      		 5 116.22 23.24×
      hyperbolic
      		 2,628 66,222 25.20×
      logmath
      		 4,291 102,903 23.98×
      matrix
      		 2,789 70,427 25.25×
      matrix-3d
      		 618.31 3,461 5.60×
      monte-carlo
      		 96.99 2,057 21.21×
      mpfr
      		 1,152 19,929 17.30×
      powmath
      		 1,494 36,591 24.50×
      trig
      		 1,615 35,084 21.72×
      veccmp
      		 14,392 230,055 15.99×
      vecfp
      		 1,893 37,504 19.81×
      vecmath
      		 1,970 50,374 25.57×
      vecshuf
      		 799.45 13,805 17.27×
      vecwide
      		 48,268 911,502 18.88×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 6.8 125.2 18.41×
      bsearch
      		 234.2 4,292 18.33×
      bubblesort
      		 0.6 12.8 21.33×
      fibsearch
      		 264.28 5,394 20.41×
      heapsort
      		 8 157.4 19.68×
      hsearch
      		 4,802 93,206 19.41×
      insertionsort
      		 7.6 121.6 16.00×
      malloc
      		 2,133,252 32,572,009 15.27×
      mcontend
      		 109.66 8,282 75.52×
      mergesort
      		 25.2 512.78 20.35×
      qsort
      		 17.8 351.79 19.76×
      skiplist
      		 4,930 111,750 22.67×
      tree
      		 1.4 19.18 13.70×
      MemorySingleMultiScaling
      cache
      		 382,610 600,537 1.57×
      cachehammer
      		 375,750 9,743,938 25.93×
      cacheline
      		 32.96 2,313 70.16×
      l1cache
      		 213.92 3,681 17.21×
      memcpy
      		 359.1 5,799 16.15×
      memrate
      		 1.17 11.87 10.15×
      memthrash
      		 201.47 817.48 4.06×
      ptr-chase
      		 32,567,882 299,247,537 9.19×
      spinmem
      		 372.59 2,525 6.78×
      stream
      		 35.62 9,766 274.17×
      vm
      		 53,936 297,124 5.51×

      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-c1m2.8xlarge FAQs