c9g.2xlarge by Amazon Web Services

c9g.2xlarge is a Compute optimized [AWS Graviton processors] Gen9 2xlarge server offered by Amazon Web Services with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0856 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
16,027
(All-cores)
2,006
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c9g.2xlarge
Description
Compute optimized [AWS Graviton processors] Gen9 2xlarge
Family
Compute Optimized
Series
c9g
Hw Virt
Average Time To Start
6
Status
active
Observed At
2026-11-14T01:02:04.730927

Availability

Region / IDSpotOndemand
(MY) / ap-southeast-5
0.1065 USD/h
0.3395 USD/h
Ohio (US) / us-east-2
0.097933 USD/h
0.3466 USD/h
Northern Virgina (US) / us-east-1
0.127975 USD/h
0.3478 USD/h
Oregon (US) / us-west-2
0.1381 USD/h
0.3478 USD/h
Seoul (KR) / ap-northeast-2
0.128267 USD/h
0.3914 USD/h
Frankfurt (DE) / eu-central-1
0.2097 USD/h
0.3954 USD/h
Singapore (SG) / ap-southeast-1
0.185633 USD/h
0.3995 USD/h
Tokyo (JP) / ap-northeast-1
0.190667 USD/h
0.4362 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
Scalability
100

System Resources and Accelerators

Memory
Memory Amount
16 GiB
Memory Amount Actual
16 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
      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

      Dedicated eight-core ARMv9 processor architecture delivering strong single-thread throughput and high memory bandwidth efficiency for compute-focused server workloads.

      Amazon Web Services c9g.2xlarge is a compute-optimized Arm64 instance featuring 8 dedicated ARMv9 Neoverse-V3 physical cores clocked at 3.3 GHz and 16.0 GB of system memory. Operating on the AWS Nitro hypervisor, the server delivers a 1:2 vCPU-to-RAM ratio, 48 MB L3 cache, and 4 Gbps baseline network bandwidth, with zero local ephemeral storage or GPUs attached. Benchmark evaluations highlight top-tier performance in single-threaded tasks, including Geekbench single-core testing, text processing, bzip3 decompression, and system memory bandwidth. Single-threaded gzip compression and lightweight model LLM text generation also demonstrate strong relative throughput. Weaknesses appear in specialized encryption instruction execution and medium-model prompt processing. The instance provides cost-effective dedicated CPU compute power for compilation tasks, text processing, microservices, and general compute-heavy workloads that do not require attached local SSD storage.

      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) 2,672,867 ops/sec 1,933,252 ops/sec 1.4 50.00% 50.00% +18.00%
      Redis RPS (pipeline=16, SET) 16,231,629 ops/sec 11,814,424 ops/sec 1.3 20.00% 20.00% +5.40%
      PassMark Memory Mark (composite) 3,725 2,408 1.5 10.00% 10.00% +4.10%
      Memory bandwidth (read, 16 MB ~ L3) 240,424 MB/sec 108,674 MB/sec 2.2 10.00% 10.00% +8.20%
      PassMark single-thread CPU 2,463 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,361

      Geekbench Multi-Core

      Score: 12,922

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 10,874
      Compression
      		 74,502
      Encryption
      		 2,358
      Extended Instructions
      		 10,799
      Floating Point Maths
      		 61,176
      Integer Maths
      		 48,969
      Physics
      		 3,340
      Prime Numbers
      		 166
      Single Threaded
      		 2,463
      String Sorting
      		 43,267

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 3,725
      Database Operations
      		 15,587
      Memory Latency
      		 28
      Memory Read Cached
      		 24,825
      Memory Read Uncached
      		 24,343
      Memory Write
      		 24,893

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 180.43 90.5 0.50×
      bitops
      		 165,607 1,320,787 7.98×
      branch
      		 320,078 2,555,499 7.98×
      funccall
      		 2,280 18,196 7.98×
      funcret
      		 41,197 322,471 7.83×
      hash
      		 181,233 1,445,838 7.98×
      intmath
      		 39,478 316,283 8.01×
      nop
      		 429,833 3,427,156 7.97×
      prime
      		 600,155 4,790,731 7.98×
      rotate
      		 149,102 1,188,471 7.97×
      str
      		 934,884 7,480,763 8.00×
      wcs
      		 283,819 2,211,914 7.79×
      CryptographySingleMultiScaling
      crypt
      		 4,288 34,801 8.12×
      CompressionSingleMultiScaling
      jpeg
      		 921.26 7,378 8.01×
      zlib
      		 53.56 373.77 6.98×
      HypervisorSingleMultiScaling
      clock
      		 67,810 381,508 5.63×
      clone
      		 423.73 2,340 5.52×
      context
      		 4,195 35,498 8.46×
      cpu-sched
      		 62.51 512.98 8.21×
      eventfd
      		 184,614 1,744,149 9.45×
      fault
      		 26,179 150,172 5.74×
      fork
      		 7,263 35,969 4.95×
      getrandom
      		 73,245 584,346 7.98×
      hrtimers
      		 1,887,231 1,114,484 0.59×
      mprotect
      		 1,497,401 4,441,665 2.97×
      mtx
      		 9,985,466 411,819,047 41.24×
      munmap
      		 5,210 32,591 6.26×
      null
      		 695,139 5,784,453 8.32×
      pipe
      		 1,313,327 7,673,537 5.84×
      priv-instr
      		 1,090,010 8,863,355 8.13×
      resched
      		 5,022,155 1,132,710 0.23×
      switch
      		 344,506 4,908,110 14.25×
      timermix
      		 391,328 2,917,653 7.46×
      tlb-shootdown
      		 20,351 65,753 3.23×
      vdso
      		 64,137,078 502,668,925 7.84×
      vfork
      		 61,735 236,511 3.83×
      yield
      		 13,875,506 13,937,938 1.00×
      zero
      		 3,349,998 27,231,651 8.13×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 2,243 17,897 7.98×
      expmath
      		 424.94 3,391 7.98×
      fma
      		 853,179 6,807,815 7.98×
      fp
      		 180 1,398 7.77×
      fractal
      		 9.2 72.2 7.85×
      hyperbolic
      		 408.3 3,257 7.98×
      logmath
      		 491.08 3,918 7.98×
      matrix
      		 7,984 63,705 7.98×
      matrix-3d
      		 1,494 8,454 5.66×
      monte-carlo
      		 279.15 2,302 8.25×
      mpfr
      		 1,888 15,054 7.97×
      powmath
      		 281.96 2,249 7.98×
      trig
      		 553.6 4,416 7.98×
      veccmp
      		 26,342 210,116 7.98×
      vecfp
      		 1,861 14,769 7.93×
      vecmath
      		 4,815 38,413 7.98×
      vecshuf
      		 1,028 8,195 7.98×
      vecwide
      		 32,390 239,644 7.40×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 11.4 89.6 7.86×
      bsearch
      		 421.67 3,375 8.00×
      bubblesort
      		 1.4 11.2 8.00×
      fibsearch
      		 413.19 3,298 7.98×
      heapsort
      		 15.4 122.6 7.96×
      hsearch
      		 10,837 86,383 7.97×
      insertionsort
      		 7.8 62.6 8.03×
      malloc
      		 4,558,216 32,195,159 7.06×
      mcontend
      		 361.29 16,329 45.20×
      mergesort
      		 38.8 308.99 7.96×
      qsort
      		 26.8 212.59 7.93×
      skiplist
      		 7,672 61,230 7.98×
      tree
      		 2.2 14.4 6.55×
      MemorySingleMultiScaling
      cache
      		 663,778 1,353,431 2.04×
      cachehammer
      		 2,354,238 17,804,733 7.56×
      cacheline
      		 99.67 707.15 7.09×
      l1cache
      		 389.56 3,108 7.98×
      memcpy
      		 1,018 7,654 7.52×
      memrate
      		 6.5 29.56 4.55×
      memthrash
      		 231.41 364.81 1.58×
      ptr-chase
      		 32,296,569 120,270,949 3.72×
      spinmem
      		 4,371 6,389 1.46×
      stream
      		 109.66 3,533 32.22×
      vm
      		 203,743 862,897 4.24×

      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

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      c7g.medium 12 GiB0
      c7gd.medium 12 GiB0
      c7gn.medium 12 GiB0

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      c9g.2xlarge FAQs