ecs.u1-c1m8.4xlarge by Alibaba Cloud

ecs.u1-c1m8.4xlarge is a ecs.u1 family (16 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.0738 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
15,445
(All-cores)
1,852
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m8.4xlarge
Description
ecs.u1 family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-01T16:58:03.017098

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 0.5099 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.5099 USD/h
Qingdao (CN) / cn-qingdao
0.10705 USD/h 0.7384 USD/h
Shenzhen (CN) / cn-shenzhen
0.0738 USD/h 0.7384 USD/h
Guangzhou (CN) / cn-guangzhou
0.1108 USD/h 0.7384 USD/h
Hangzhou (CN) / cn-hangzhou
0.1108 USD/h 0.7384 USD/h
Beijing (CN) / cn-beijing
0.1403 USD/h 0.7384 USD/h
Chengdu (CN) / cn-chengdu
- 0.7384 USD/h
Shanghai (CN) / cn-shanghai
- 0.7384 USD/h
Silicon Valley (US) / us-west-1
0.1923 USD/h 0.8944 USD/h
London (GB) / eu-west-1
0.1473 USD/h 1.0521 USD/h
Singapore (SG) / ap-southeast-1
0.24695 USD/h 1.0738 USD/h
Frankfurt (DE) / eu-central-1
- 1.0738 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
8.3
Scalability
51.88

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An x86_64 server offering a high memory-to-core ratio and dedicated Intel Xeon processing for memory-intensive enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m8.4xlarge is an x86_64 server instance powered by a dedicated 2.5 GHz Intel Xeon processor with 16 vCPUs and 128.0 GB of RAM. Operating on a KVM hypervisor, this instance features an 8:1 memory-to-vCPU ratio but lacks local storage and GPU hardware, relying on a 5 Gbps baseline network bandwidth. In benchmark testing, the instance demonstrates average performance, achieving a PassMark CPU score of 19492.46 and a Redis SET throughput of 15.56 million operations per second. Memory bandwidth reaches 847.52 GB/sec for cached reads and 57.38 GB/sec for uncached writes. Given its high memory density and lack of local storage, this instance is suited for memory-intensive workloads such as caching layers, in-memory databases, and software compilation tasks that do not require high-speed local disk I/O.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.88Score
      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) 1,648,793 ops/sec 1,918,343 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 10,056,653 ops/sec 11,704,734 ops/sec 0.83 20.00% 20.00% -3.70%
      PassMark Memory Mark (composite) 2,661 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 103,765 MB/sec 108,466 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 2,395 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,434

      Geekbench Multi-Core

      Score: 8,709

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      19,492
      Compression
      245,744
      Encryption
      8,465
      Extended Instructions
      14,038
      Floating Point Maths
      34,285
      Integer Maths
      66,964
      Physics
      2,235
      Prime Numbers
      131
      Single Threaded
      2,395
      String Sorting
      34,819

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,661
      Database Operations
      7,964
      Memory Latency
      53
      Memory Read Cached
      23,840
      Memory Read Uncached
      11,810
      Memory Write
      11,030

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      256.79 319.41 1.24×
      bitops
      129,192 1,060,645 8.21×
      branch
      136,541 1,735,101 12.71×
      funccall
      631.15 5,185 8.22×
      funcret
      11,915 140,235 11.77×
      hash
      151,005 1,748,517 11.58×
      intmath
      61,001 598,093 9.80×
      nop
      189,520 1,322,724 6.98×
      prime
      392,209 3,407,446 8.69×
      rotate
      97,409 837,473 8.60×
      str
      887,514 7,288,107 8.21×
      wcs
      622,685 4,240,824 6.81×
      CryptographySingleMultiScaling
      crypt
      2,815 21,029 7.47×
      CompressionSingleMultiScaling
      jpeg
      704.37 7,291 10.35×
      zlib
      60.27 668.52 11.09×
      HypervisorSingleMultiScaling
      clock
      16,004 172,441 10.78×
      clone
      551.09 3,499 6.35×
      context
      2,005 20,854 10.40×
      cpu-sched
      61.66 1,036 16.80×
      eventfd
      48,481 460,367 9.50×
      fault
      15,530 147,150 9.48×
      fork
      5,044 44,464 8.82×
      getrandom
      48,642 455,306 9.36×
      hrtimers
      191,644 1,630,724 8.51×
      mprotect
      1,110,356 2,569,321 2.31×
      mtx
      14,259,723 491,483,329 34.47×
      munmap
      3,599 35,067 9.74×
      null
      217,518 2,139,643 9.84×
      pipe
      1,002,068 5,478,386 5.47×
      priv-instr
      467,511 4,586,918 9.81×
      resched
      4,527,442 1,526,745 0.34×
      switch
      91,189 2,190,007 24.02×
      timermix
      298,805 3,948,437 13.21×
      tlb-shootdown
      14,286 37,739 2.64×
      tsc
      765,081 9,061,908 11.84×
      usersyscall
      328,998 3,253,965 9.89×
      vdso
      92,344,229 938,626,023 10.16×
      vfork
      33,623 220,168 6.55×
      x86syscall
      2,449,826 24,140,624 9.85×
      yield
      8,327,008 8,498,671 1.02×
      zero
      1,864,661 17,242,485 9.25×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,733 153,097 10.39×
      expmath
      2,868 33,774 11.78×
      fma
      548,998 8,897,510 16.21×
      fp
      278.02 2,524 9.08×
      fractal
      5.2 62 11.92×
      hyperbolic
      3,056 36,294 11.88×
      logmath
      4,833 55,954 11.58×
      matrix
      3,455 40,971 11.86×
      matrix-3d
      781.23 3,673 4.70×
      monte-carlo
      107.94 1,192 11.04×
      mpfr
      1,402 12,037 8.59×
      powmath
      1,679 20,053 11.94×
      trig
      1,953 19,951 10.21×
      veccmp
      20,381 155,810 7.64×
      vecfp
      2,032 18,363 9.04×
      vecmath
      3,174 38,338 12.08×
      vecshuf
      880.4 9,434 10.72×
      vecwide
      56,935 539,989 9.48×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 64 8.00×
      bsearch
      249.58 2,682 10.75×
      bubblesort
      1 6.4 6.40×
      fibsearch
      287.12 2,847 9.92×
      heapsort
      9.4 86.4 9.19×
      hsearch
      7,290 64,967 8.91×
      insertionsort
      10.4 50.8 4.88×
      malloc
      2,664,267 26,480,874 9.94×
      mcontend
      131.63 3,335 25.33×
      mergesort
      26.6 297.79 11.20×
      qsort
      20.6 173.4 8.42×
      skiplist
      5,426 64,352 11.86×
      tree
      1.6 12.79 7.99×
      MemorySingleMultiScaling
      cache
      561,113 1,267,869 2.26×
      cachehammer
      373,070 5,373,662 14.40×
      cacheline
      58.76 1,066 18.14×
      l1cache
      276.88 2,027 7.32×
      memcpy
      403.9 3,196 7.91×
      memrate
      1.77 10.55 5.96×
      memthrash
      209.99 626.8 2.98×
      ptr-chase
      34,818,472 173,626,637 4.99×
      spinmem
      326.79 950.12 2.91×
      stream
      24.39 2,643 108.36×
      vm
      58,904 293,619 4.98×

      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-c1m8.4xlarge FAQs