t4g.2xlarge by Amazon Web Services

t4g.2xlarge is a Burstable performance [AWS Graviton processors] Gen4 2xlarge server offered by Amazon Web Services with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0179 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
12,133
(All-cores)
1,520
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
t4g.2xlarge
Description
Burstable performance [AWS Graviton processors] Gen4 2xlarge
Family
t4g
Hw Virt
Average Time To Start
9
Status
active
Observed At
2026-11-07T19:46:52.265574

Availability

REGION / IDSPOTONDEMAND
Hyderabad (IN) / ap-south-2
0.0179 USD/h 0.1792 USD/h
Mumbai (IN) / ap-south-1
0.091167 USD/h 0.1792 USD/h
Northern Virgina (US) / us-east-1
0.11926 USD/h 0.2688 USD/h
Ohio (US) / us-east-2
0.1019 USD/h 0.2688 USD/h
Oregon (US) / us-west-2
0.133 USD/h 0.2688 USD/h
Stockholm (SE) / eu-north-1
0.068 USD/h 0.2752 USD/h
(MX) / mx-central-1
0.078567 USD/h 0.2822 USD/h
Aragón (ES) / eu-south-2
0.034067 USD/h 0.2944 USD/h
Calgary (CA) / ca-west-1
0.0754 USD/h 0.2944 USD/h
Dublin (IE) / eu-west-1
0.155467 USD/h 0.2944 USD/h
Quebec (CA) / ca-central-1
0.184 USD/h 0.2944 USD/h
London (GB) / eu-west-2
0.113375 USD/h 0.3008 USD/h
Paris (FR) / eu-west-3
0.129 USD/h 0.3008 USD/h
(MY) / ap-southeast-5
0.1172 USD/h 0.3053 USD/h
(TH) / ap-southeast-7
0.123267 USD/h 0.3053 USD/h
Milan (IT) / eu-south-1
0.070767 USD/h 0.3072 USD/h
Frankfurt (DE) / eu-central-1
0.136367 USD/h 0.3072 USD/h
Tel Aviv (IL) / il-central-1
0.1281 USD/h 0.3091 USD/h
Taipei (TW) / ap-east-2
0.131433 USD/h 0.311 USD/h
California (US) / us-west-1
0.11695 USD/h 0.32 USD/h
Seoul (KR) / ap-northeast-2
0.1242 USD/h 0.3328 USD/h
Zurich (CH) / eu-central-2
0.106033 USD/h 0.3379 USD/h
Jakarta (ID) / ap-southeast-3
0.0339 USD/h 0.3392 USD/h
Melbourne (AU) / ap-southeast-4
0.078467 USD/h 0.3392 USD/h
Sydney (AU) / ap-southeast-2
0.1318 USD/h 0.3392 USD/h
Singapore (SG) / ap-southeast-1
0.175267 USD/h 0.3392 USD/h
Tokyo (JP) / ap-northeast-1
0.1318 USD/h 0.3456 USD/h
Cape Town (ZA) / af-south-1
0.131233 USD/h 0.3469 USD/h
Osaka (JP) / ap-northeast-3
0.1129 USD/h 0.3482 USD/h
(NZ) / ap-southeast-6
0.106167 USD/h 0.3565 USD/h
Hong Kong (HK) / ap-east-1
0.096667 USD/h 0.3712 USD/h
Sao Paulo (BR) / sa-east-1
0.105767 USD/h 0.4288 USD/h

Processor

vCPUs
8
Hypervisor
nitro
CPU Allocation
Burstable
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv8
CPU Model
Neoverse-N1
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
1 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 MiB
CPU Flags
fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, lrcpc, dcpop, asimddp, ssbs
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
      2.048 Gbps
      Network Speed Max
      5 Gbps
      Network Storage Speed Baseline
      0.695 Gbps
      Network Storage Speed Max
      2.78 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A burstable arm64 instance delivering balanced memory and multi-core performance for workloads with variable CPU utilization.

      Burstable & BudgetGeneral Purpose

      Amazon Web Services t4g.2xlarge is a burstable, arm64-based instance powered by an 8-core AWS Graviton Neoverse-N1 processor running at 2.5 GHz. It features 32.0 GB of RAM, a 2 Gbps baseline network bandwidth, and operates on the Nitro hypervisor without local storage or GPU accelerators. Benchmarks indicate average performance for multi-core processing, database operations, and static web serving, though single-threaded tasks and LLM inference show weaker results. It achieves 9.35 million operations per second in Redis SET tests and an average of 12133.02 in stress-ng multi-core tests. This instance provides a cost-efficient option for workloads with variable CPU demands, such as web serving, software compilation, and medium-scale database applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.52Score
      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) 884,396 ops/sec 1,922,940 ops/sec 0.46 50.00% 50.00% -32.00%
      Redis RPS (pipeline=16, SET) 5,241,127 ops/sec 11,797,257 ops/sec 0.43 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 1,614 2,406 0.67 10.00% 10.00% -3.90%
      Memory bandwidth (read, 16 MB ~ L3) 133,858 MB/sec 108,657 MB/sec 1.2 10.00% 10.00% +1.80%
      PassMark single-thread CPU 1,109 Mops/s 2,365 Mops/s 0.46 10.00% 10.00% -7.50%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 877

      Geekbench Multi-Core

      Score: 5,149

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      5,230
      Compression
      37,704
      Encryption
      1,091
      Extended Instructions
      4,972
      Floating Point Maths
      24,006
      Integer Maths
      31,534
      Physics
      1,072
      Prime Numbers
      60
      Single Threaded
      1,109
      String Sorting
      22,806

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,614
      Database Operations
      5,171
      Memory Latency
      85
      Memory Read Cached
      9,471
      Memory Read Uncached
      9,049
      Memory Write
      12,366

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      123.47 98.76 0.80×
      bitops
      89,912 719,183 8.00×
      branch
      179,335 1,459,292 8.14×
      funccall
      1,111 8,843 7.96×
      funcret
      17,225 137,639 7.99×
      hash
      106,432 848,055 7.97×
      intmath
      25,568 208,785 8.17×
      nop
      144,194 1,147,241 7.96×
      prime
      284,192 2,262,815 7.96×
      rotate
      80,262 637,239 7.94×
      str
      428,867 3,419,402 7.97×
      wcs
      99,187 789,996 7.96×
      CryptographySingleMultiScaling
      crypt
      2,413 19,202 7.96×
      CompressionSingleMultiScaling
      jpeg
      430.22 3,459 8.04×
      zlib
      15.03 262.95 17.50×
      HypervisorSingleMultiScaling
      clock
      27,178 181,726 6.69×
      clone
      247.98 1,247 5.03×
      context
      2,201 17,606 8.00×
      cpu-sched
      65.77 516.67 7.86×
      eventfd
      30,856 447,805 14.51×
      fault
      10,782 75,201 6.97×
      fork
      3,408 23,604 6.93×
      getrandom
      40,131 319,577 7.96×
      hrtimers
      268,606 790,354 2.94×
      mprotect
      944,167 2,295,364 2.43×
      mtx
      10,263,115 208,533,508 20.32×
      munmap
      2,442 17,742 7.27×
      null
      385,031 3,056,918 7.94×
      pipe
      679,385 3,669,823 5.40×
      priv-instr
      612,028 4,535,396 7.41×
      resched
      2,593,439 1,151,969 0.44×
      switch
      45,972 1,838,126 39.98×
      timermix
      280,406 2,226,729 7.94×
      tlb-shootdown
      4,491 7,395 1.65×
      vdso
      41,264,578 329,155,621 7.98×
      vfork
      19,588 109,768 5.60×
      yield
      5,618,503 5,869,880 1.04×
      zero
      1,720,625 13,677,005 7.95×
      CPU float/SIMDSingleMultiScaling
      eigen
      1,105 8,841 8.00×
      expmath
      198.08 1,585 8.00×
      fma
      530,655 4,227,036 7.97×
      fp
      83.76 687 8.20×
      fractal
      5.4 42.8 7.93×
      hyperbolic
      201.79 1,618 8.02×
      logmath
      244.23 1,941 7.95×
      matrix
      4,417 35,391 8.01×
      matrix-3d
      493.6 3,794 7.69×
      monte-carlo
      160.83 1,288 8.01×
      mpfr
      533.43 4,241 7.95×
      powmath
      146.65 1,170 7.98×
      trig
      274.04 2,187 7.98×
      veccmp
      14,280 113,839 7.97×
      vecfp
      620.15 4,950 7.98×
      vecmath
      2,569 20,493 7.98×
      vecshuf
      558.67 4,436 7.94×
      vecwide
      14,882 121,645 8.17×
      AlgorithmsSingleMultiScaling
      bitonicsort
      4.4 35 7.95×
      bsearch
      213.78 1,708 7.99×
      bubblesort
      0.6 4.8 8.00×
      fibsearch
      227.3 1,813 7.97×
      heapsort
      7 54.2 7.74×
      hsearch
      4,083 32,457 7.95×
      insertionsort
      3.8 30.4 8.00×
      malloc
      2,193,632 17,725,044 8.08×
      mcontend
      265.41 12,309 46.38×
      mergesort
      22.8 184.99 8.11×
      qsort
      16.2 129.39 7.99×
      skiplist
      4,454 35,531 7.98×
      tree
      1 6.4 6.40×
      MemorySingleMultiScaling
      cache
      328,693 540,078 1.64×
      cachehammer
      83,763 215,082 2.57×
      cacheline
      53.88 421.99 7.83×
      l1cache
      151.04 1,208 8.00×
      memcpy
      369.38 2,940 7.96×
      memrate
      3.33 20.27 6.09×
      memthrash
      85.9 172.75 2.01×
      ptr-chase
      11,098,862 78,425,265 7.07×
      spinmem
      415.18 474.29 1.14×
      stream
      81.06 3,535 43.61×
      vm
      55,924 516,369 9.23×

      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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      t4g.large 28 GiB0
      t4g.xlarge 416 GiB0

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      t4g.2xlarge FAQs