ecs.mn4.4xlarge by Alibaba Cloud

ecs.mn4.4xlarge is a ecs.mn4 family (16 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.0916 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
12,880
(All-cores)
942
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.mn4.4xlarge
Description
ecs.mn4 family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.mn4
Hw Virt
Status
active
Observed At
2026-11-01T12:58:43.227216

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.0916 USD/h 0.705 USD/h
Hong Kong (HK) / cn-hongkong
- 0.845 USD/h
Singapore (SG) / ap-southeast-1
0.1246 USD/h 0.89 USD/h
Frankfurt (DE) / eu-central-1
0.133 USD/h 0.95 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2682 v4
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
256 KiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
40 MiB
CPU L3 Cache Total
40 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, rdseed, adx, smap, xsaveopt, arat
Ecpus
13.7
Scalability
85.62

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced general-purpose virtual machine featuring sixteen virtual cores and sixty-four gigabytes of memory for multi-threaded workloads.

      General Purpose

      Alibaba Cloud ecs.mn4.4xlarge is a general-purpose instance featuring 16 vCPUs and 64.0 GB of RAM, running on an Intel Xeon E5-2682 v4 processor at 2.5 GHz. Built on the x86_64 architecture under a KVM hypervisor, this instance utilizes a shared CPU allocation and does not include local storage or GPU accelerators. Network performance is defined by a 2 Gbps baseline bandwidth. Benchmark data shows a contrast between poor single-core performance and average multi-core capabilities, with a PassMark CPU score of 15708.54 and a stress-ng multi-core score of 12880.15. Memory bandwidth is moderate, though overall memory performance benchmarks fall into the lower quartiles. This instance is qualitatively cost-efficient for resource-balanced workloads, making it suitable for static web serving, Redis caching, and multi-threaded background processing where single-thread execution speed is not a primary constraint.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.77Score
      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) 1,733,740 ops/sec 1,918,343 ops/sec 0.89 50.00% 50.00% -5.70%
      Redis RPS (pipeline=16, SET) 9,086,785 ops/sec 11,704,734 ops/sec 0.76 20.00% 20.00% -5.30%
      PassMark Memory Mark (composite) 1,808 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 47,272 MB/sec 108,466 MB/sec 0.43 10.00% 10.00% -8.10%
      PassMark single-thread CPU 1,738 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 15,709
      Compression
      		 238,592
      Encryption
      		 4,792
      Extended Instructions
      		 14,597
      Floating Point Maths
      		 39,171
      Integer Maths
      		 50,493
      Physics
      		 1,835
      Prime Numbers
      		 101
      Single Threaded
      		 1,738
      String Sorting
      		 28,661

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,808
      Database Operations
      		 3,536
      Memory Latency
      		 71
      Memory Read Cached
      		 20,655
      Memory Read Uncached
      		 6,798
      Memory Write
      		 5,795

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 220.72 216.33 0.98×
      bitops
      		 101,420 1,318,276 13.00×
      branch
      		 131,065 1,803,126 13.76×
      funccall
      		 456.17 6,241 13.68×
      funcret
      		 9,249 126,392 13.67×
      hash
      		 108,949 1,500,863 13.78×
      intmath
      		 17,925 257,554 14.37×
      nop
      		 150,769 1,588,547 10.54×
      prime
      		 263,280 3,384,212 12.85×
      rotate
      		 83,614 1,040,990 12.45×
      str
      		 577,380 7,703,343 13.34×
      wcs
      		 377,419 4,456,675 11.81×
      CryptographySingleMultiScaling
      crypt
      		 1,960 25,329 12.92×
      CompressionSingleMultiScaling
      jpeg
      		 425.59 6,427 15.10×
      zlib
      		 34.96 623.97 17.85×
      HypervisorSingleMultiScaling
      clock
      		 23,473 187,584 7.99×
      clone
      		 411.71 3,203 7.78×
      context
      		 2,490 37,311 14.99×
      cpu-sched
      		 69.61 1,007 14.47×
      eventfd
      		 29,572 314,960 10.65×
      fault
      		 8,313 105,369 12.68×
      fork
      		 3,209 30,349 9.46×
      getrandom
      		 38,345 502,423 13.10×
      hrtimers
      		 260,733 1,908,403 7.32×
      mprotect
      		 861,714 3,591,624 4.17×
      mtx
      		 11,874,884 467,497,298 39.37×
      munmap
      		 2,197 24,785 11.28×
      null
      		 287,508 4,081,610 14.20×
      pipe
      		 842,722 4,985,106 5.92×
      priv-instr
      		 500,062 6,501,025 13.00×
      resched
      		 4,584,287 1,645,563 0.36×
      switch
      		 49,700 2,289,994 46.08×
      timermix
      		 202,364 2,813,358 13.90×
      tlb-shootdown
      		 7,394 39,053 5.28×
      tsc
      		 866,196 13,223,023 15.27×
      usersyscall
      		 356,244 4,672,378 13.12×
      vdso
      		 37,958,865 628,812,402 16.57×
      vfork
      		 16,362 134,414 8.21×
      x86syscall
      		 3,267,014 47,733,179 14.61×
      yield
      		 10,972,412 12,043,511 1.10×
      zero
      		 1,752,813 25,473,337 14.53×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,669 171,604 13.54×
      expmath
      		 2,190 30,587 13.97×
      fma
      		 474,190 7,194,647 15.17×
      fp
      		 103.2 1,607 15.57×
      fractal
      		 4.4 60.01 13.64×
      hyperbolic
      		 2,472 36,935 14.94×
      logmath
      		 3,900 55,018 14.11×
      matrix
      		 3,037 42,466 13.98×
      matrix-3d
      		 599.18 3,017 5.04×
      monte-carlo
      		 138.56 1,908 13.77×
      mpfr
      		 892.14 12,415 13.92×
      powmath
      		 1,316 18,682 14.19×
      trig
      		 1,554 17,604 11.32×
      veccmp
      		 11,866 152,917 12.89×
      vecfp
      		 717.17 9,836 13.72×
      vecmath
      		 1,865 25,008 13.41×
      vecshuf
      		 469.66 5,235 11.15×
      vecwide
      		 19,512 242,555 12.43×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 6 80.8 13.47×
      bsearch
      		 196.07 2,483 12.66×
      bubblesort
      		 0.6 6.2 10.33×
      fibsearch
      		 228.52 2,781 12.17×
      heapsort
      		 6.6 92 13.94×
      hsearch
      		 3,659 48,698 13.31×
      insertionsort
      		 5.8 80.2 13.83×
      malloc
      		 1,592,581 20,738,666 13.02×
      mcontend
      		 117.07 3,692 31.54×
      mergesort
      		 21.4 297.99 13.92×
      qsort
      		 15.6 220.39 14.13×
      skiplist
      		 5,013 62,780 12.52×
      tree
      		 1 8.6 8.60×
      MemorySingleMultiScaling
      cache
      		 186,489 339,443 1.82×
      cachehammer
      		 436,213 5,863,773 13.44×
      cacheline
      		 17.34 347.52 20.04×
      l1cache
      		 164.38 1,936 11.78×
      memcpy
      		 362.96 5,333 14.69×
      memrate
      		 0.98 7.68 7.84×
      memthrash
      		 125.5 424.38 3.38×
      ptr-chase
      		 15,383,909 132,184,532 8.59×
      spinmem
      		 203.59 686.72 3.37×
      stream
      		 30.54 2,715 88.91×
      vm
      		 29,982 293,473 9.79×

      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.mn4.8xlarge 32128 GiB0

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      ecs.mn4.4xlarge FAQs