m9g.2xlarge by Amazon Web Services

m9g.2xlarge is a General purpose [AWS Graviton processors] Gen9 2xlarge server offered by Amazon Web Services with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0667 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
16,045
(All-cores)
1,988
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
m9g.2xlarge
Description
General purpose [AWS Graviton processors] Gen9 2xlarge
Family
m9g
Hw Virt
Average Time To Start
9.57
Status
active
Observed At
2026-10-28T13:55:46.973288

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.095067 USD/h 0.3914 USD/h
Oregon (US) / us-west-2
0.152825 USD/h 0.3914 USD/h
Northern Virgina (US) / us-east-1
0.1682 USD/h 0.3914 USD/h
(MY) / ap-southeast-5
0.137367 USD/h 0.4158 USD/h
Aragón (ES) / eu-south-2
0.07025 USD/h 0.4359 USD/h
Dublin (IE) / eu-west-1
0.241533 USD/h 0.4362 USD/h
Frankfurt (DE) / eu-central-1
0.2317 USD/h 0.4689 USD/h
Sydney (AU) / ap-southeast-2
0.209967 USD/h 0.4892 USD/h
Singapore (SG) / ap-southeast-1
0.232933 USD/h 0.4892 USD/h
Tokyo (JP) / ap-northeast-1
0.228167 USD/h 0.5055 USD/h

Processor

vCPUs
8
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
3.3 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv9
CPU Model
Neoverse-V3
CPU L1D Cache
64 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 MiB
CPU Flags
fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, jscvt, fcma, lrcpc, dcpop, sha3, asimddp, sha512, sve, asimdfhm, dit, uscat, ilrcpc, flagm, sb, paca, pacg, dcpodp, sve2, sveaes, svepmull, svebitperm, svesha3, flagm2, frint, svei8mm, svebf16, i8mm, bf16, dgh, rng, bti, ecv, afp, wfxt
Ecpus
8.1
Scalability
101.25

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
      4.25 Gbps
      Network Speed Max
      17 Gbps
      Network Storage Speed Baseline
      3 Gbps
      Network Storage Speed Max
      12 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An ARM64-powered general-purpose instance delivering strong single-core performance and balanced memory capacity for diverse cloud workloads.

      General Purpose

      Amazon Web Services m9g.2xlarge is a general-purpose server instance powered by an 8-core AWS Graviton Neoverse-V3 ARM64 processor running at 3.3 GHz. It features 32.0 GB of RAM, providing a balanced 4.0 GB per core, and operates on the Nitro hypervisor with a baseline network bandwidth of 4 Gbps. The instance lacks local storage and GPU accelerators. In benchmarks, the m9g.2xlarge delivers top-tier single-core performance in Geekbench and single-threaded compression tasks, alongside excellent memory performance. Multi-core workloads, such as software compilation and database operations, perform in the average tier, while cryptographic encryption tests show weaker results. This resource profile makes the instance a highly efficient choice for general-purpose workloads, including web serving, text processing, and application hosting, offering a balanced trade-off between compute power and memory capacity without the overhead of x86 architectures.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.4Score
      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) 2,866,063 ops/sec 1,919,289 ops/sec 1.5 50.00% 50.00% +22.00%
      Redis RPS (pipeline=16, SET) 16,315,414 ops/sec 11,728,058 ops/sec 1.3 20.00% 20.00% +5.40%
      PassMark Memory Mark (composite) 4,065 2,416 1.7 10.00% 10.00% +5.40%
      Memory bandwidth (read, 16 MB ~ L3) 149,321 MB/sec 108,466 MB/sec 1.4 10.00% 10.00% +3.40%
      PassMark single-thread CPU 2,465 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,379

      Geekbench Multi-Core

      Score: 12,869

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 10,874
      Compression
      		 74,636
      Encryption
      		 2,363
      Extended Instructions
      		 10,798
      Floating Point Maths
      		 61,258
      Integer Maths
      		 49,014
      Physics
      		 3,125
      Prime Numbers
      		 163
      Single Threaded
      		 2,465
      String Sorting
      		 43,052

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 4,065
      Database Operations
      		 14,916
      Memory Latency
      		 31
      Memory Read Cached
      		 24,947
      Memory Read Uncached
      		 23,804
      Memory Write
      		 24,933

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 197.53 135.38 0.69×
      bitops
      		 165,509 1,324,085 8.00×
      branch
      		 320,485 2,558,386 7.98×
      funccall
      		 2,283 18,211 7.98×
      funcret
      		 40,393 319,180 7.90×
      hash
      		 181,502 1,448,222 7.98×
      intmath
      		 39,598 316,626 8.00×
      nop
      		 430,411 3,432,502 7.97×
      prime
      		 600,628 4,790,443 7.98×
      rotate
      		 149,297 1,189,567 7.97×
      str
      		 936,470 7,466,669 7.97×
      wcs
      		 285,198 2,232,061 7.83×
      CryptographySingleMultiScaling
      crypt
      		 4,300 34,301 7.98×
      CompressionSingleMultiScaling
      jpeg
      		 924.73 7,361 7.96×
      zlib
      		 57.01 372.33 6.53×
      HypervisorSingleMultiScaling
      clock
      		 55,705 326,230 5.86×
      clone
      		 422.83 2,274 5.38×
      context
      		 3,927 33,532 8.54×
      cpu-sched
      		 58.61 538.28 9.18×
      eventfd
      		 157,708 1,776,135 11.26×
      fault
      		 27,178 173,447 6.38×
      fork
      		 7,464 45,165 6.05×
      getrandom
      		 74,140 592,033 7.99×
      hrtimers
      		 194,254 1,189,598 6.12×
      mprotect
      		 1,592,004 4,513,485 2.84×
      mtx
      		 10,309,985 466,832,009 45.28×
      munmap
      		 5,653 36,497 6.46×
      null
      		 685,243 5,751,163 8.39×
      pipe
      		 1,317,742 8,044,775 6.10×
      priv-instr
      		 1,116,184 8,854,412 7.93×
      resched
      		 4,845,667 1,959,972 0.40×
      switch
      		 279,446 5,442,559 19.48×
      timermix
      		 583,990 4,304,768 7.37×
      tlb-shootdown
      		 19,485 68,395 3.51×
      vdso
      		 64,377,424 509,234,764 7.91×
      vfork
      		 66,617 251,140 3.77×
      yield
      		 13,517,889 13,625,789 1.01×
      zero
      		 3,268,901 26,528,620 8.12×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 2,247 17,910 7.97×
      expmath
      		 425.74 3,395 7.97×
      fma
      		 854,464 6,814,086 7.97×
      fp
      		 175.16 1,400 7.99×
      fractal
      		 9.2 72.6 7.89×
      hyperbolic
      		 408.79 3,260 7.98×
      logmath
      		 491.72 3,923 7.98×
      matrix
      		 7,981 63,720 7.98×
      matrix-3d
      		 1,494 7,709 5.16×
      monte-carlo
      		 269.65 2,228 8.26×
      mpfr
      		 1,890 15,058 7.97×
      powmath
      		 282.32 2,251 7.97×
      trig
      		 554.3 4,420 7.97×
      veccmp
      		 26,364 210,365 7.98×
      vecfp
      		 1,856 14,749 7.95×
      vecmath
      		 4,819 38,489 7.99×
      vecshuf
      		 1,033 8,226 7.96×
      vecwide
      		 30,182 241,121 7.99×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 11.2 89.6 8.00×
      bsearch
      		 422.55 3,379 8.00×
      bubblesort
      		 1.4 11.2 8.00×
      fibsearch
      		 415.58 3,311 7.97×
      heapsort
      		 15.4 122.8 7.97×
      hsearch
      		 10,827 86,576 8.00×
      insertionsort
      		 7.8 62 7.95×
      malloc
      		 3,912,532 30,267,313 7.74×
      mcontend
      		 317.73 18,246 57.43×
      mergesort
      		 38.6 308.99 8.00×
      qsort
      		 26.8 212.99 7.95×
      skiplist
      		 7,680 61,314 7.98×
      tree
      		 1.6 11.2 7.00×
      MemorySingleMultiScaling
      cache
      		 580,509 1,139,577 1.96×
      cachehammer
      		 2,269,377 17,081,197 7.53×
      cacheline
      		 92.51 753.32 8.14×
      l1cache
      		 391.12 3,115 7.97×
      memcpy
      		 1,018 7,673 7.54×
      memrate
      		 6.53 26.19 4.01×
      memthrash
      		 236.27 371.74 1.57×
      ptr-chase
      		 13,304,531 99,926,063 7.51×
      spinmem
      		 5,568 3,715 0.67×
      stream
      		 106.04 2,877 27.13×
      vm
      		 195,054 842,211 4.32×

      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

      PostgreSQL heavy read-only throughput

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      m9g.medium 14 GiB0
      m9g.large 28 GiB0
      m9g.xlarge 416 GiB0
      m9g.4xlarge 1664 GiB0
      m9g.8xlarge 32128 GiB0
      m9g.12xlarge 48192 GiB0
      m9g.16xlarge 64256 GiB0

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      m9g.2xlarge FAQs