ecs.mn4.2xlarge by Alibaba Cloud

ecs.mn4.2xlarge is a ecs.mn4 family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0422 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
8,819
(All-cores)
1,108
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.mn4.2xlarge
Description
ecs.mn4 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.mn4
Hw Virt
Status
active
Observed At
2026-10-29T02:39:22.908908

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.0494 USD/h 0.353 USD/h
Hong Kong (HK) / cn-hongkong
0.0422 USD/h 0.422 USD/h
Singapore (SG) / ap-southeast-1
0.0799 USD/h 0.444 USD/h
Frankfurt (DE) / eu-central-1
0.0665 USD/h 0.475 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
4
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
8
Scalability
100

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

      CPU and System Topology

      Server Description

      A balanced general-purpose virtual instance offering eight shared vCPUs and thirty-two gigabytes of memory for multi-threaded workloads.

      General PurposeBurstable & Budget

      Alibaba Cloud ecs.mn4.2xlarge is a general-purpose virtual instance featuring 8 vCPUs and 32.0 GB of RAM, running on an Intel Xeon 8163 processor at 2.5 GHz. Built on the x86_64 architecture and managed via the KVM hypervisor, this instance utilizes a shared CPU allocation model. It lacks local storage and dedicated GPUs, relying on a baseline network bandwidth of 1 Gbps. Benchmark data shows weak single-core performance and poor single-threaded compression speeds, but multi-core benchmarks, including Geekbench multi-core and Passmark CPU tests, reach average tiers. Memory bandwidth is also average, though database operations and memory scores are weak. This hardware profile is best suited for general-purpose workloads, multi-threaded software compilation, and moderate web serving where dedicated CPU resources are not required.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.44Score
      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) 647,038 ops/sec 1,919,289 ops/sec 0.34 50.00% 50.00% -42.00%
      Redis RPS (pipeline=16, SET) 5,304,446 ops/sec 11,728,058 ops/sec 0.44 20.00% 20.00% -15.00%
      PassMark Memory Mark (composite) 1,637 2,416 0.67 10.00% 10.00% -3.90%
      Memory bandwidth (read, 16 MB ~ L3) 67,519 MB/sec 108,466 MB/sec 0.62 10.00% 10.00% -4.70%
      PassMark single-thread CPU 1,656 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 908

      Geekbench Multi-Core

      Score: 4,765

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9,098
      Compression
      		 134,730
      Encryption
      		 3,280
      Extended Instructions
      		 9,351
      Floating Point Maths
      		 14,672
      Integer Maths
      		 22,561
      Physics
      		 1,010
      Prime Numbers
      		 58
      Single Threaded
      		 1,656
      String Sorting
      		 17,462

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,637
      Database Operations
      		 1,852
      Memory Latency
      		 80
      Memory Read Cached
      		 17,833
      Memory Read Uncached
      		 6,502
      Memory Write
      		 7,005

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 180.86 186.61 1.03×
      bitops
      		 100,405 800,871 7.98×
      branch
      		 122,282 974,476 7.97×
      funccall
      		 446.55 3,472 7.77×
      funcret
      		 8,958 72,477 8.09×
      hash
      		 102,448 817,159 7.98×
      intmath
      		 17,969 140,688 7.83×
      nop
      		 148,804 1,196,662 8.04×
      prime
      		 264,738 2,071,368 7.82×
      rotate
      		 75,013 608,619 8.11×
      str
      		 658,630 4,885,954 7.42×
      wcs
      		 425,130 3,263,224 7.68×
      CryptographySingleMultiScaling
      crypt
      		 1,936 15,433 7.97×
      CompressionSingleMultiScaling
      jpeg
      		 421.44 3,683 8.74×
      zlib
      		 43.24 306.99 7.10×
      HypervisorSingleMultiScaling
      clock
      		 8,411 63,829 7.59×
      clone
      		 390.89 1,940 4.96×
      context
      		 530.99 4,253 8.01×
      cpu-sched
      		 63.73 528.48 8.29×
      eventfd
      		 25,127 308,347 12.27×
      fault
      		 8,301 61,349 7.39×
      fork
      		 2,414 20,427 8.46×
      getrandom
      		 31,552 254,185 8.06×
      hrtimers
      		 194,398 653,062 3.36×
      mprotect
      		 611,476 669,737 1.10×
      mtx
      		 13,137,712 272,639,996 20.75×
      munmap
      		 1,745 14,517 8.32×
      null
      		 49,498 396,913 8.02×
      pipe
      		 358,085 1,451,314 4.05×
      priv-instr
      		 147,731 1,163,461 7.88×
      resched
      		 1,020,598 416,804 0.41×
      switch
      		 76,864 889,552 11.57×
      timermix
      		 109,254 877,967 8.04×
      tlb-shootdown
      		 9,698 20,857 2.15×
      tsc
      		 773,070 6,209,156 8.03×
      usersyscall
      		 98,875 713,700 7.22×
      vdso
      		 63,573,423 508,116,638 7.99×
      vfork
      		 17,759 102,765 5.79×
      x86syscall
      		 552,872 4,381,959 7.93×
      yield
      		 2,462,234 2,480,652 1.01×
      zero
      		 486,592 3,882,351 7.98×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 13,012 103,363 7.94×
      expmath
      		 2,135 17,043 7.98×
      fma
      		 478,606 3,818,675 7.98×
      fp
      		 132 1,038 7.86×
      fractal
      		 4.2 32.2 7.67×
      hyperbolic
      		 2,227 17,555 7.88×
      logmath
      		 3,552 28,728 8.09×
      matrix
      		 2,371 19,465 8.21×
      matrix-3d
      		 463.62 2,490 5.37×
      monte-carlo
      		 31.67 252.8 7.98×
      mpfr
      		 979.45 7,682 7.84×
      powmath
      		 1,247 9,929 7.96×
      trig
      		 1,357 10,627 7.83×
      veccmp
      		 12,282 91,836 7.48×
      vecfp
      		 1,720 13,778 8.01×
      vecmath
      		 1,623 13,354 8.23×
      vecshuf
      		 744.61 5,938 7.97×
      vecwide
      		 44,996 358,474 7.97×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 45.6 7.86×
      bsearch
      		 196 1,557 7.95×
      bubblesort
      		 0.6 4.8 8.00×
      fibsearch
      		 223.11 1,776 7.96×
      heapsort
      		 6.6 52.2 7.91×
      hsearch
      		 3,968 31,980 8.06×
      insertionsort
      		 6.4 50 7.81×
      malloc
      		 1,476,367 11,032,846 7.47×
      mcontend
      		 116.49 1,850 15.88×
      mergesort
      		 19.8 166.2 8.39×
      qsort
      		 15 118.6 7.91×
      skiplist
      		 4,110 32,903 8.01×
      tree
      		 1 5.6 5.60×
      MemorySingleMultiScaling
      cache
      		 230,849 419,480 1.82×
      cachehammer
      		 358,057 2,794,174 7.80×
      cacheline
      		 24.76 194.62 7.86×
      l1cache
      		 174.08 1,402 8.05×
      memcpy
      		 295.82 2,063 6.97×
      memrate
      		 0.94 5.99 6.37×
      memthrash
      		 101.47 304.74 3.00×
      ptr-chase
      		 11,535,885 66,051,444 5.73×
      spinmem
      		 186.19 288.57 1.55×
      stream
      		 31.76 2,045 64.39×
      vm
      		 15,939 290,272 18.21×

      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
      ecs.mn4.small 14 GiB0
      ecs.mn4.large 28 GiB0
      ecs.mn4.xlarge 416 GiB0
      ecs.mn4.4xlarge 1664 GiB0
      ecs.mn4.8xlarge 32128 GiB0

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      ecs.mn4.2xlarge FAQs