ecs.mn4.8xlarge by Alibaba Cloud

ecs.mn4.8xlarge is a ecs.mn4 family (32 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.155 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
29,387
(All-cores)
1,109
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.mn4.8xlarge
Description
ecs.mn4 family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.mn4
Hw Virt
Status
active
Observed At
2026-10-28T07:38:05.770086

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.155 USD/h 1.409 USD/h
Hong Kong (HK) / cn-hongkong
- 1.69 USD/h
Singapore (SG) / ap-southeast-1
0.3202 USD/h 1.779 USD/h
Frankfurt (DE) / eu-central-1
- 1.9 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
16
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
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, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
26.5
Scalability
82.81

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

      A balanced x86_64 virtual server featuring 32 vCPUs and 128 GB RAM, optimized for multi-threaded workloads and database operations.

      General Purpose

      Alibaba Cloud ecs.mn4.8xlarge is a general-purpose virtual machine instance featuring 32 vCPUs and 128.0 GB of RAM, running on an Intel Xeon 8163 processor with an x86_64 architecture. Operating under the KVM hypervisor, this instance utilizes a shared CPU allocation model and does not include local storage or GPU accelerators. Performance benchmarks reveal a distinct tradeoff: single-core CPU performance is weak, placing in the bottom 25%, while multi-core capabilities and memory bandwidth consistently rank in the average tier. The instance supports AVX and AVX-512F instruction sets and provides a baseline network bandwidth of 5 Gbps. Given its balanced resource density and average multi-threaded performance, the ecs.mn4.8xlarge is suited for static web serving, database operations, Redis caching, and multi-threaded data processing workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.2Score
      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) 2,401,856 ops/sec 1,919,289 ops/sec 1.3 50.00% 50.00% +14.00%
      Redis RPS (pipeline=16, SET) 17,022,448 ops/sec 11,728,058 ops/sec 1.4 20.00% 20.00% +7.00%
      PassMark Memory Mark (composite) 1,814 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 135,627 MB/sec 108,466 MB/sec 1.3 10.00% 10.00% +2.70%
      PassMark single-thread CPU 1,692 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 952

      Geekbench Multi-Core

      Score: 8,555

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 28,366
      Compression
      		 478,909
      Encryption
      		 12,258
      Extended Instructions
      		 35,852
      Floating Point Maths
      		 62,193
      Integer Maths
      		 91,964
      Physics
      		 2,954
      Prime Numbers
      		 160
      Single Threaded
      		 1,692
      String Sorting
      		 61,775

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,814
      Database Operations
      		 8,554
      Memory Latency
      		 79
      Memory Read Cached
      		 19,088
      Memory Read Uncached
      		 6,430
      Memory Write
      		 6,976

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 174.93 151 0.86×
      bitops
      		 100,473 2,468,399 24.57×
      branch
      		 122,333 3,423,102 27.98×
      funccall
      		 451.06 10,989 24.36×
      funcret
      		 9,145 253,300 27.70×
      hash
      		 103,929 2,871,262 27.63×
      intmath
      		 17,833 512,567 28.74×
      nop
      		 149,146 3,625,422 24.31×
      prime
      		 263,722 6,597,807 25.02×
      rotate
      		 76,703 2,043,304 26.64×
      str
      		 649,422 16,418,605 25.28×
      wcs
      		 416,974 10,015,819 24.02×
      CryptographySingleMultiScaling
      crypt
      		 1,938 53,128 27.42×
      CompressionSingleMultiScaling
      jpeg
      		 450.14 12,107 26.90×
      zlib
      		 36.96 1,246 33.70×
      HypervisorSingleMultiScaling
      clock
      		 8,262 202,743 24.54×
      clone
      		 363 5,889 16.22×
      context
      		 528.99 14,907 28.18×
      cpu-sched
      		 60.71 2,028 33.41×
      eventfd
      		 25,810 548,530 21.25×
      fault
      		 8,493 157,763 18.58×
      fork
      		 2,464 48,415 19.65×
      getrandom
      		 32,398 847,403 26.16×
      hrtimers
      		 879,505 2,815,525 3.20×
      mprotect
      		 591,633 2,411,827 4.08×
      mtx
      		 13,429,554 946,659,388 70.49×
      munmap
      		 1,729 37,273 21.56×
      null
      		 53,164 1,424,725 26.80×
      pipe
      		 412,875 4,942,576 11.97×
      priv-instr
      		 148,539 4,136,095 27.85×
      resched
      		 2,545,120 1,493,602 0.59×
      switch
      		 100,849 2,887,988 28.64×
      timermix
      		 110,020 3,065,653 27.86×
      tlb-shootdown
      		 9,664 56,874 5.89×
      tsc
      		 790,878 21,397,958 27.06×
      usersyscall
      		 96,080 2,672,498 27.82×
      vdso
      		 64,294,965 1,926,807,100 29.97×
      vfork
      		 17,804 195,376 10.97×
      x86syscall
      		 552,092 17,372,480 31.47×
      yield
      		 9,252,400 9,996,230 1.08×
      zero
      		 509,611 14,218,957 27.90×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,997 363,060 27.93×
      expmath
      		 2,135 60,141 28.17×
      fma
      		 479,121 14,320,377 29.89×
      fp
      		 132 3,859 29.23×
      fractal
      		 4.2 115.04 27.39×
      hyperbolic
      		 2,204 64,890 29.45×
      logmath
      		 3,615 107,086 29.62×
      matrix
      		 2,474 67,957 27.47×
      matrix-3d
      		 533.29 4,265 8.00×
      monte-carlo
      		 31.77 917.37 28.88×
      mpfr
      		 980.66 25,787 26.30×
      powmath
      		 1,264 36,583 28.94×
      trig
      		 1,366 36,580 26.79×
      veccmp
      		 12,329 291,947 23.68×
      vecfp
      		 1,729 45,817 26.51×
      vecmath
      		 1,677 47,808 28.51×
      vecshuf
      		 745.63 19,495 26.15×
      vecwide
      		 44,785 1,158,589 25.87×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 137.6 23.72×
      bsearch
      		 197.77 4,916 24.86×
      bubblesort
      		 0.6 13 21.67×
      fibsearch
      		 223.29 6,283 28.14×
      heapsort
      		 6.6 171.8 26.03×
      hsearch
      		 4,063 108,039 26.59×
      insertionsort
      		 6.4 172.8 27.00×
      malloc
      		 1,641,101 35,437,776 21.59×
      mcontend
      		 92.11 5,532 60.06×
      mergesort
      		 21.2 552.58 26.07×
      qsort
      		 15 390.79 26.05×
      skiplist
      		 4,160 113,011 27.17×
      tree
      		 1.2 16.19 13.49×
      MemorySingleMultiScaling
      cache
      		 263,465 496,413 1.88×
      cachehammer
      		 364,501 9,633,436 26.43×
      cacheline
      		 20.76 1,472 70.93×
      l1cache
      		 171.29 4,689 27.37×
      memcpy
      		 303 7,235 23.88×
      memrate
      		 0.94 11.87 12.63×
      memthrash
      		 159.73 831.55 5.21×
      ptr-chase
      		 29,471,533 239,544,828 8.13×
      spinmem
      		 173.99 1,238 7.12×
      stream
      		 34.72 11,763 338.81×
      vm
      		 16,950 295,440 17.43×

      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.mn4.small 14 GiB0
      ecs.mn4.large 28 GiB0
      ecs.mn4.xlarge 416 GiB0
      ecs.mn4.2xlarge 832 GiB0
      ecs.mn4.4xlarge 1664 GiB0

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      ecs.mn4.8xlarge FAQs