ecs.u1-c1m8.3xlarge by Alibaba Cloud

ecs.u1-c1m8.3xlarge is a ecs.u1 family (12 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.0344 USD per hour.
12 vCPU
96 GiB Memory
Spare SCore
10,501
(All-cores)
1,314
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m8.3xlarge
Description
ecs.u1 family (12 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-02T15:17:44.451855

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0344 USD/h 0.3824 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0727 USD/h 0.3824 USD/h
Shenzhen (CN) / cn-shenzhen
0.0498 USD/h 0.5538 USD/h
Chengdu (CN) / cn-chengdu
0.0554 USD/h 0.5538 USD/h
Guangzhou (CN) / cn-guangzhou
0.0554 USD/h 0.5538 USD/h
Qingdao (CN) / cn-qingdao
0.0803 USD/h 0.5538 USD/h
Shanghai (CN) / cn-shanghai
0.1329 USD/h 0.5538 USD/h
Beijing (CN) / cn-beijing
- 0.5538 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5538 USD/h
Silicon Valley (US) / us-west-1
0.1274 USD/h 0.6706 USD/h
London (GB) / eu-west-1
0.1145 USD/h 0.7896 USD/h
Frankfurt (DE) / eu-central-1
0.09265 USD/h 0.8056 USD/h
Singapore (SG) / ap-southeast-1
0.1933 USD/h 0.8056 USD/h
Hong Kong (HK) / cn-hongkong
0.0892 USD/h 0.8916 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
8
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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
      4 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring twelve dedicated vCPUs and ninety-six gigabytes of RAM for memory-intensive multi-threaded workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m8.3xlarge is an x86_64 memory-optimized instance featuring 12 dedicated vCPUs across 6 physical Intel Xeon cores running at 2.5 GHz, paired with 96.0 GB of RAM. It operates on the KVM hypervisor, lacks local storage and GPU accelerators, and offers a baseline network bandwidth of 4 Gbps. Performance benchmarks show a contrast between weak single-core capabilities and average multi-core and memory bandwidth performance. While single-threaded tasks and larger LLM inference workloads perform poorly, the instance provides solid resource density for memory-intensive applications. It is well-suited for database operations, multi-threaded software compilation, static web serving, and general-purpose workloads requiring a high memory-to-vCPU ratio without the need for high-frequency single-core execution.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.64Score
      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) 1,103,083 ops/sec 1,918,343 ops/sec 0.58 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 6,536,164 ops/sec 11,704,734 ops/sec 0.54 20.00% 20.00% -12.00%
      PassMark Memory Mark (composite) 2,404 2,415 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 76,995 MB/sec 108,466 MB/sec 0.7 10.00% 10.00% -3.50%
      PassMark single-thread CPU 1,961 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: 5,612

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      11,917
      Compression
      161,762
      Encryption
      4,861
      Extended Instructions
      9,731
      Floating Point Maths
      18,836
      Integer Maths
      35,120
      Physics
      1,273
      Prime Numbers
      73
      Single Threaded
      1,961
      String Sorting
      21,563

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,404
      Database Operations
      4,238
      Memory Latency
      55
      Memory Read Cached
      22,806
      Memory Read Uncached
      9,705
      Memory Write
      9,601

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      207.13 216.86 1.05×
      bitops
      118,998 789,627 6.64×
      branch
      144,999 1,317,697 9.09×
      funccall
      533.15 3,366 6.31×
      funcret
      10,759 94,177 8.75×
      hash
      122,974 1,090,140 8.86×
      intmath
      20,941 193,662 9.25×
      nop
      179,985 935,086 5.20×
      prime
      304,955 2,050,151 6.72×
      rotate
      90,899 696,282 7.66×
      str
      719,646 5,980,516 8.31×
      wcs
      478,014 3,270,136 6.84×
      CryptographySingleMultiScaling
      crypt
      2,294 13,434 5.86×
      CompressionSingleMultiScaling
      jpeg
      582.25 4,308 7.40×
      zlib
      49.07 454.03 9.25×
      HypervisorSingleMultiScaling
      clock
      15,683 129,620 8.26×
      clone
      403.27 2,471 6.13×
      context
      1,786 14,462 8.10×
      cpu-sched
      58.21 790.32 13.58×
      eventfd
      49,874 642,429 12.88×
      fault
      12,780 98,119 7.68×
      fork
      3,948 30,649 7.76×
      getrandom
      42,273 314,857 7.45×
      hrtimers
      362,593 1,148,508 3.17×
      mprotect
      922,100 1,729,314 1.88×
      mtx
      12,282,134 328,532,981 26.75×
      munmap
      2,856 22,013 7.71×
      null
      192,046 1,446,415 7.53×
      pipe
      892,330 3,431,878 3.85×
      priv-instr
      394,355 3,203,148 8.12×
      resched
      2,471,507 1,017,361 0.41×
      switch
      78,270 1,472,403 18.81×
      timermix
      330,714 2,827,313 8.55×
      tlb-shootdown
      10,740 27,980 2.61×
      tsc
      935,236 7,899,082 8.45×
      usersyscall
      283,281 2,225,818 7.86×
      vdso
      76,116,156 788,769,436 10.36×
      vfork
      29,248 153,211 5.24×
      x86syscall
      2,160,668 16,206,712 7.50×
      yield
      5,988,496 6,008,831 1.00×
      zero
      1,460,580 10,458,429 7.16×
      CPU float/SIMDSingleMultiScaling
      eigen
      15,339 112,353 7.32×
      expmath
      2,528 23,264 9.20×
      fma
      521,060 5,414,758 10.39×
      fp
      156 1,405 9.00×
      fractal
      5 43.6 8.72×
      hyperbolic
      2,616 24,782 9.47×
      logmath
      4,292 38,861 9.05×
      matrix
      2,784 26,166 9.40×
      matrix-3d
      608.81 2,620 4.30×
      monte-carlo
      96.87 774.05 7.99×
      mpfr
      1,150 7,476 6.50×
      powmath
      1,493 13,697 9.18×
      trig
      1,614 13,137 8.14×
      veccmp
      14,458 86,748 6.00×
      vecfp
      1,894 14,072 7.43×
      vecmath
      1,967 18,878 9.60×
      vecshuf
      800.08 5,182 6.48×
      vecwide
      48,248 341,390 7.08×
      AlgorithmsSingleMultiScaling
      bitonicsort
      6.8 47.8 7.03×
      bsearch
      231.62 1,607 6.94×
      bubblesort
      0.6 4.8 8.00×
      fibsearch
      264.29 2,019 7.64×
      heapsort
      8 58.2 7.28×
      hsearch
      4,801 35,697 7.44×
      insertionsort
      7.6 45.6 6.00×
      malloc
      2,138,929 20,513,288 9.59×
      mcontend
      125.33 3,164 25.25×
      mergesort
      25.2 198.99 7.90×
      qsort
      17.8 131.8 7.40×
      skiplist
      4,921 41,865 8.51×
      tree
      1.4 9.6 6.86×
      MemorySingleMultiScaling
      cache
      377,141 627,362 1.66×
      cachehammer
      379,575 3,991,114 10.51×
      cacheline
      37.32 408.18 10.94×
      l1cache
      208.12 1,398 6.72×
      memcpy
      359.31 2,181 6.07×
      memrate
      1.17 6.89 5.89×
      memthrash
      139.58 434.1 3.11×
      ptr-chase
      30,747,516 128,224,206 4.17×
      spinmem
      368.79 844.74 2.29×
      stream
      34.58 2,897 83.78×
      vm
      56,154 292,367 5.21×

      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-c1m8.3xlarge FAQs