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t2.2xlarge by Amazon Web Services

t2.2xlarge is a Burstable performance Gen2 2xlarge server offered by Amazon Web Services with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0809 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
11557
(All-cores)
1737
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
t2.2xlarge
Description
Burstable performance Gen2 2xlarge
Family
t2
Hw Virt
Status
active
Observed At
2026-07-30T03:33:31.805398

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.090167 USD/h 0.3712 USD/h
Northern Virgina (US) / us-east-1
0.166767 USD/h 0.3712 USD/h
Oregon (US) / us-west-2
0.154767 USD/h 0.3712 USD/h
Mumbai (IN) / ap-south-1
0.10805 USD/h 0.3968 USD/h
Dublin (IE) / eu-west-1
0.170833 USD/h 0.4032 USD/h
Quebec (CA) / ca-central-1
0.1249 USD/h 0.4096 USD/h
Paris (FR) / eu-west-3
0.111733 USD/h 0.4224 USD/h
London (GB) / eu-west-2
0.145333 USD/h 0.4224 USD/h
Frankfurt (DE) / eu-central-1
0.1622 USD/h 0.4288 USD/h
California (US) / us-west-1
0.13155 USD/h 0.4416 USD/h
Seoul (KR) / ap-northeast-2
0.1006 USD/h 0.4608 USD/h
Sydney (AU) / ap-southeast-2
0.1461 USD/h 0.4672 USD/h
Singapore (SG) / ap-southeast-1
0.1676 USD/h 0.4672 USD/h
Tokyo (JP) / ap-northeast-1
0.117433 USD/h 0.4864 USD/h
Osaka (JP) / ap-northeast-3
0.1456 USD/h 0.4864 USD/h
Sao Paulo (BR) / sa-east-1
0.10785 USD/h 0.5952 USD/h

Processor

vCPUs
8
Hypervisor
xen
CPU Allocation
Burstable
CPU Cores
8
CPU Speed
2.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2686 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
45 MiB
CPU L3 Cache Total
45 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, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, 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, cpuid_fault, pti, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, xsaveopt
Ecpus
6.7
Scalability
83.75

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      1 Gbps
      Network Speed Max
      1.024 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A burstable x86_64 instance with eight cores and thirty-two gigabytes of memory, designed for workloads with variable CPU utilization.

      Burstable & BudgetGeneral Purpose

      Amazon Web Services t2.2xlarge is a burstable general-purpose instance powered by an Intel Xeon E5-2686 v4 processor with 8 vCPUs and 32.0 GB of RAM. Operating on the Xen hypervisor, this x86_64 architecture instance features a 2.3 GHz clock speed and a 45 MB L3 cache, but lacks local storage and dedicated GPUs. Performance benchmarks place the instance in the average tier for multi-core CPU tasks, software compilation, and database operations, though it exhibits weaker results in single-threaded operations, write memory bandwidth, and static web serving. Utilizing a burstable CPU allocation model, the t2.2xlarge offers a cost-efficient profile for workloads with fluctuating resource demands. It is highly suitable for development environments, code repositories, low-traffic web servers, and non-production database workloads that benefit from burst capacity without requiring continuous high-performance compute.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.126Score
      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) 125,790 ops/sec 1,896,415 ops/sec 0.0663 50.00% 50.00% -74.30%
      Redis RPS (pipeline=16, SET) 572,500 ops/sec 11,539,523 ops/sec 0.0496 20.00% 20.00% -45.20%
      PassMark Memory Mark (composite) 1,845 2,411 0.765 10.00% 10.00% -2.64%
      Memory bandwidth (read, 16 MB ~ L3) 57,015 MB/sec 107,368 MB/sec 0.531 10.00% 10.00% -6.13%
      PassMark single-thread CPU 1,802 Mops/s 2,363 Mops/s 0.762 10.00% 10.00% -2.68%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 874

      Geekbench Multi-Core

      Score: 4,812

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 10905
      Compression
      		 137932
      Encryption
      		 3946
      Extended Instructions
      		 8020
      Floating Point Maths
      		 22204
      Integer Maths
      		 31629
      Physics
      		 1527
      Prime Numbers
      		 91
      Single Threaded
      		 1802
      String Sorting
      		 18755

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1845
      Database Operations
      		 5635
      Memory Latency
      		 81
      Memory Read Cached
      		 18843
      Memory Read Uncached
      		 8588
      Memory Write
      		 8041

      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

      INSTANCEvCPUsMEMORYGPUs
      t2.nano 10.5 GiB0
      t2.micro 11 GiB0
      t2.small 12 GiB0
      t2.medium 24 GiB0
      t2.large 28 GiB0
      t2.xlarge 416 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      t2.2xlarge FAQs