ecs.u1-c1m1.8xlarge by Alibaba Cloud

ecs.u1-c1m1.8xlarge is a ecs.u1 family (32 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0744 USD per hour.
32 vCPU
32 GiB Memory
Spare SCore
30,912
(All-cores)
1,820
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m1.8xlarge
Description
ecs.u1 family (32 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-10-24T00:57:06.645165

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0744 USD/h 0.744 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.744 USD/h
Shenzhen (CN) / cn-shenzhen
0.07855 USD/h 0.8266 USD/h
Qingdao (CN) / cn-qingdao
0.1612 USD/h 0.8266 USD/h
Guangzhou (CN) / cn-guangzhou
0.1571 USD/h 0.8266 USD/h
Beijing (CN) / cn-beijing
0.1984 USD/h 0.8266 USD/h
Chengdu (CN) / cn-chengdu
- 0.8266 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.8266 USD/h
Shanghai (CN) / cn-shanghai
- 0.8266 USD/h
Silicon Valley (US) / us-west-1
0.2543 USD/h 1.0597 USD/h
Frankfurt (DE) / eu-central-1
0.14395 USD/h 1.1994 USD/h
London (GB) / eu-west-1
0.2394 USD/h 1.2599 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, 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
17
Scalability
53.12

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
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-focused virtual machine with dedicated Intel Xeon processors and a balanced 1:1 vCPU-to-RAM ratio for CPU-intensive workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m1.8xlarge is a KVM-based virtual machine featuring 32 dedicated vCPUs powered by an Intel Xeon processor running at 2.5 GHz. Built on the x86_64 architecture, it includes 16 physical cores with hyper-threading, 32.0 GB of RAM, and a baseline network bandwidth of 10 Gbps, with no local storage or GPU hardware. The instance supports AVX, AVX512F, and AES instruction sets. Benchmark data indicates average multi-core performance, with a PassMark CPU score of 34,140.29 and a Geekbench multi-core score of 12,692.0. It exhibits strong text generation performance for small LLM models at 304.01 tokens/sec. With a 1:1 vCPU-to-RAM ratio, this compute-focused instance is qualitatively cost-efficient for CPU-bound tasks, making it suitable for software compilation, static web serving, and lightweight inference workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.5Score
      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) 3,288,091 ops/sec 1,919,289 ops/sec 1.7 50.00% 50.00% +30.00%
      Redis RPS (pipeline=16, SET) 19,348,687 ops/sec 11,728,058 ops/sec 1.6 20.00% 20.00% +9.90%
      PassMark Memory Mark (composite) 2,691 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 161,077 MB/sec 108,466 MB/sec 1.5 10.00% 10.00% +4.10%
      PassMark single-thread CPU 2,356 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,439

      Geekbench Multi-Core

      Score: 12,692

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 34,140
      Compression
      		 487,332
      Encryption
      		 16,918
      Extended Instructions
      		 28,194
      Floating Point Maths
      		 68,586
      Integer Maths
      		 133,908
      Physics
      		 3,358
      Prime Numbers
      		 188
      Single Threaded
      		 2,356
      String Sorting
      		 68,632

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,691
      Database Operations
      		 14,956
      Memory Latency
      		 52
      Memory Read Cached
      		 24,019
      Memory Read Uncached
      		 12,321
      Memory Write
      		 11,415

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 267.18 278.19 1.04×
      bitops
      		 129,143 2,122,112 16.43×
      branch
      		 136,468 3,472,153 25.44×
      funccall
      		 630.56 10,318 16.36×
      funcret
      		 11,720 274,397 23.41×
      hash
      		 149,995 3,499,394 23.33×
      intmath
      		 61,002 1,198,092 19.64×
      nop
      		 189,751 2,652,769 13.98×
      prime
      		 391,588 6,818,338 17.41×
      rotate
      		 97,327 1,675,049 17.21×
      str
      		 862,552 14,692,017 17.03×
      wcs
      		 601,332 8,646,848 14.38×
      CryptographySingleMultiScaling
      crypt
      		 2,819 42,008 14.90×
      CompressionSingleMultiScaling
      jpeg
      		 682.46 14,010 20.53×
      zlib
      		 55.83 1,423 25.50×
      HypervisorSingleMultiScaling
      clock
      		 15,750 277,451 17.62×
      clone
      		 568.61 6,358 11.18×
      context
      		 2,015 41,545 20.62×
      cpu-sched
      		 60.3 2,019 33.48×
      eventfd
      		 47,649 827,237 17.36×
      fault
      		 15,639 253,888 16.23×
      fork
      		 4,899 75,480 15.41×
      getrandom
      		 48,600 911,334 18.75×
      hrtimers
      		 379,530 2,808,620 7.40×
      mprotect
      		 1,182,281 5,131,184 4.34×
      mtx
      		 18,126,943 1,091,599,500 60.22×
      munmap
      		 3,498 58,096 16.61×
      null
      		 216,924 4,233,303 19.52×
      pipe
      		 986,052 10,503,395 10.65×
      priv-instr
      		 461,364 9,027,358 19.57×
      resched
      		 8,403,887 3,066,667 0.36×
      switch
      		 109,849 3,755,241 34.19×
      timermix
      		 300,534 7,867,808 26.18×
      tlb-shootdown
      		 10,798 64,794 6.00×
      tsc
      		 764,857 18,125,832 23.70×
      usersyscall
      		 325,572 6,502,654 19.97×
      vdso
      		 92,250,683 1,881,485,318 20.40×
      vfork
      		 32,596 195,905 6.01×
      x86syscall
      		 2,421,081 47,634,350 19.67×
      yield
      		 16,975,959 19,654,974 1.16×
      zero
      		 1,879,530 34,718,720 18.47×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,695 305,788 20.81×
      expmath
      		 2,864 67,443 23.55×
      fma
      		 548,367 17,713,701 32.30×
      fp
      		 277.72 5,077 18.28×
      fractal
      		 5.2 124.01 23.85×
      hyperbolic
      		 3,036 72,574 23.90×
      logmath
      		 4,832 111,962 23.17×
      matrix
      		 3,407 81,760 24.00×
      matrix-3d
      		 703.57 5,301 7.53×
      monte-carlo
      		 116.94 2,382 20.37×
      mpfr
      		 1,402 24,066 17.17×
      powmath
      		 1,678 40,106 23.90×
      trig
      		 1,953 39,929 20.44×
      veccmp
      		 20,394 311,713 15.28×
      vecfp
      		 2,027 36,772 18.14×
      vecmath
      		 3,171 76,675 24.18×
      vecshuf
      		 877.39 18,857 21.49×
      vecwide
      		 56,866 1,072,284 18.86×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 128 16.00×
      bsearch
      		 248.44 5,238 21.08×
      bubblesort
      		 1 12.8 12.80×
      fibsearch
      		 286.7 5,684 19.83×
      heapsort
      		 9.4 172.8 18.38×
      hsearch
      		 7,266 130,192 17.92×
      insertionsort
      		 10.4 101 9.71×
      malloc
      		 2,526,459 35,289,313 13.97×
      mcontend
      		 114.86 6,671 58.08×
      mergesort
      		 26.6 589.38 22.16×
      qsort
      		 20.6 345.19 16.76×
      skiplist
      		 5,427 129,195 23.80×
      tree
      		 1.6 22.98 14.36×
      MemorySingleMultiScaling
      cache
      		 547,616 1,245,183 2.27×
      cachehammer
      		 369,768 9,947,161 26.90×
      cacheline
      		 54.96 3,972 72.27×
      l1cache
      		 283.07 4,049 14.30×
      memcpy
      		 403.63 6,404 15.86×
      memrate
      		 1.77 12.84 7.25×
      memthrash
      		 256.1 1,000 3.91×
      ptr-chase
      		 35,326,720 317,304,579 8.98×
      spinmem
      		 321.79 2,116 6.58×
      stream
      		 24.5 8,467 345.59×
      vm
      		 77,149 297,203 3.85×

      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-c1m1.8xlarge FAQs