c9g.8xlarge by Amazon Web Services

c9g.8xlarge is a Compute optimized [AWS Graviton processors] Gen9 8xlarge server offered by Amazon Web Services with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.3386 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
63,992
(All-cores)
2,006
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c9g.8xlarge
Description
Compute optimized [AWS Graviton processors] Gen9 8xlarge
Family
Compute Optimized
Series
c9g
Hw Virt
Average Time To Start
6.33
Status
active
Observed At
2026-11-14T01:02:04.732331

Availability

Region / IDSpotOndemand
(MY) / ap-southeast-5
0.4525 USD/h
1.3581 USD/h
Ohio (US) / us-east-2
0.366033 USD/h
1.3862 USD/h
Northern Virgina (US) / us-east-1
0.61725 USD/h
1.391 USD/h
Oregon (US) / us-west-2
0.631775 USD/h
1.391 USD/h
Seoul (KR) / ap-northeast-2
0.536933 USD/h
1.5654 USD/h
Frankfurt (DE) / eu-central-1
0.736167 USD/h
1.5818 USD/h
Singapore (SG) / ap-southeast-1
0.711367 USD/h
1.5981 USD/h
Tokyo (JP) / ap-northeast-1
0.759867 USD/h
1.745 USD/h

Processor

vCPUs
32
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
32
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
2 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
2 MiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
64 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
31.9
Scalability
99.69

System Resources and Accelerators

Memory
Memory Amount
64 GiB
Memory Amount Actual
63 GiB
Accelerators
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    Storage
    Storage Size
    0 GB
    Storages
      Compatible Storage IDs
      standard, gp2, gp3, st1, sc1, io1, io2
      Network
      Network Speed Baseline
      17 Gbps
      Network Speed Max
      17 Gbps
      Network Storage Speed Baseline
      12 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 ARMv9 compute-optimized server with 32 physical cores and 64 GB RAM for software compilation, database tasks, and web serving.

      Amazon Web Services c9g.8xlarge is a compute-optimized instance powered by a 32-core AWS ARMv9 Neoverse-V3 processor operating at 3.3 GHz on the AWS Nitro hypervisor. It features 32 dedicated physical cores, 64 GB of RAM, 48 MB of L3 cache, AES cryptographic acceleration, and a baseline network bandwidth of 17 Gbps, without bundled local storage or GPU hardware. Benchmark evaluations demonstrate top-tier execution in software compilation with Clang, text processing, single-threaded compression, static web serving throughput, and database operations. It also delivers strong multi-core processing in Geekbench and high Redis SET transaction rates. The 2 GB per core RAM allocation limits memory-intensive applications, while uncached memory bandwidth and single-core stress testing perform at average levels. The architecture provides high compute density for parallel workloads such as CI/CD pipelines, high-throughput web servers, Redis caches, and distributed application microservices.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      3.9Score
      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) 11,369,286 ops/sec 1,933,252 ops/sec 5.8 50.00% 50.00% +140.00%
      Redis RPS (pipeline=16, SET) 66,050,260 ops/sec 11,814,424 ops/sec 5.5 20.00% 20.00% +41.00%
      PassMark Memory Mark (composite) 4,503 2,408 1.9 10.00% 10.00% +6.60%
      Memory bandwidth (read, 16 MB ~ L3) 242,168 MB/sec 108,674 MB/sec 2.2 10.00% 10.00% +8.20%
      PassMark single-thread CPU 2,462 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,382

      Geekbench Multi-Core

      Score: 25,987

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 36,547
      Compression
      		 298,023
      Encryption
      		 9,429
      Extended Instructions
      		 43,115
      Floating Point Maths
      		 244,319
      Integer Maths
      		 195,515
      Physics
      		 9,807
      Prime Numbers
      		 566
      Single Threaded
      		 2,462
      String Sorting
      		 170,310

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 4,503
      Database Operations
      		 47,005
      Memory Latency
      		 27
      Memory Read Cached
      		 24,918
      Memory Read Uncached
      		 24,140
      Memory Write
      		 24,775

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 183.13 33.02 0.18×
      bitops
      		 164,976 5,272,612 31.96×
      branch
      		 319,713 10,212,128 31.94×
      funccall
      		 2,278 72,761 31.94×
      funcret
      		 41,046 1,294,377 31.53×
      hash
      		 181,060 5,781,229 31.93×
      intmath
      		 39,955 1,264,371 31.64×
      nop
      		 429,551 13,699,631 31.89×
      prime
      		 600,270 19,171,117 31.94×
      rotate
      		 148,391 4,749,475 32.01×
      str
      		 937,117 29,801,127 31.80×
      wcs
      		 278,832 8,952,981 32.11×
      CryptographySingleMultiScaling
      crypt
      		 4,291 136,752 31.87×
      CompressionSingleMultiScaling
      jpeg
      		 903.04 28,719 31.80×
      zlib
      		 41.55 1,476 35.52×
      HypervisorSingleMultiScaling
      clock
      		 52,788 614,571 11.64×
      clone
      		 405.43 7,431 18.33×
      context
      		 3,950 129,127 32.69×
      cpu-sched
      		 62.03 2,014 32.47×
      eventfd
      		 151,787 2,451,319 16.15×
      fault
      		 28,900 471,888 16.33×
      fork
      		 7,564 75,542 9.99×
      getrandom
      		 73,963 2,360,182 31.91×
      hrtimers
      		 678,436 5,515,056 8.13×
      mprotect
      		 1,579,736 17,143,848 10.85×
      mtx
      		 9,625,736 1,733,619,028 180.10×
      munmap
      		 5,240 86,924 16.59×
      null
      		 675,513 22,339,977 33.07×
      pipe
      		 1,401,332 26,194,170 18.69×
      priv-instr
      		 1,129,152 13,751,272 12.18×
      resched
      		 3,043,901 7,620,702 2.50×
      switch
      		 271,048 22,285,836 82.22×
      timermix
      		 585,186 16,740,010 28.61×
      tlb-shootdown
      		 19,887 246,791 12.41×
      vdso
      		 61,087,731 2,022,721,977 33.11×
      vfork
      		 65,786 479,098 7.28×
      yield
      		 54,292,396 63,258,772 1.17×
      zero
      		 3,275,752 105,334,519 32.16×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 2,242 71,594 31.93×
      expmath
      		 425.18 13,561 31.90×
      fma
      		 852,151 27,212,217 31.93×
      fp
      		 176.96 5,609 31.70×
      fractal
      		 9.2 289.03 31.42×
      hyperbolic
      		 407.96 13,021 31.92×
      logmath
      		 490.91 15,668 31.92×
      matrix
      		 7,984 254,731 31.90×
      matrix-3d
      		 1,494 9,632 6.45×
      monte-carlo
      		 269.6 8,757 32.48×
      mpfr
      		 1,886 60,122 31.87×
      powmath
      		 281.79 8,990 31.90×
      trig
      		 553.02 17,648 31.91×
      veccmp
      		 26,311 840,003 31.93×
      vecfp
      		 1,842 59,151 32.11×
      vecmath
      		 4,818 153,388 31.84×
      vecshuf
      		 1,030 32,871 31.93×
      vecwide
      		 32,358 958,805 29.63×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 11.2 358.39 32.00×
      bsearch
      		 421 13,461 31.97×
      bubblesort
      		 1.4 44.8 32.00×
      fibsearch
      		 413.42 13,209 31.95×
      heapsort
      		 15.4 492.19 31.96×
      hsearch
      		 10,838 346,251 31.95×
      insertionsort
      		 8 247.8 30.98×
      malloc
      		 4,571,629 91,250,432 19.96×
      mcontend
      		 301.08 77,193 256.39×
      mergesort
      		 38.8 1,234 31.81×
      qsort
      		 26.8 853.36 31.84×
      skiplist
      		 7,664 244,451 31.90×
      tree
      		 2.2 39.16 17.80×
      MemorySingleMultiScaling
      cache
      		 709,621 1,365,013 1.92×
      cachehammer
      		 2,410,224 52,404,395 21.74×
      cacheline
      		 88.36 4,361 49.36×
      l1cache
      		 389.62 12,389 31.80×
      memcpy
      		 1,012 30,582 30.21×
      memrate
      		 6.52 32.44 4.98×
      memthrash
      		 264.85 837.72 3.16×
      ptr-chase
      		 36,293,553 365,680,136 10.08×
      spinmem
      		 5,868 28,769 4.90×
      stream
      		 110.29 30,901 280.18×
      vm
      		 202,316 2,913,241 14.40×

      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

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      c9g.8xlarge FAQs