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 0.0461 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
11,557
(All-cores)
1,737
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
t2.2xlarge
Description
Burstable performance Gen2 2xlarge
Family
t2
Hw Virt
Status
active
Observed At
2026-10-28T13:55:46.977127

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.065733 USD/h 0.3712 USD/h
Northern Virgina (US) / us-east-1
0.150733 USD/h 0.3712 USD/h
Oregon (US) / us-west-2
0.140933 USD/h 0.3712 USD/h
Mumbai (IN) / ap-south-1
0.12255 USD/h 0.3968 USD/h
Dublin (IE) / eu-west-1
0.168767 USD/h 0.4032 USD/h
Quebec (CA) / ca-central-1
0.11645 USD/h 0.4096 USD/h
London (GB) / eu-west-2
0.127633 USD/h 0.4224 USD/h
Paris (FR) / eu-west-3
0.135733 USD/h 0.4224 USD/h
Frankfurt (DE) / eu-central-1
0.151767 USD/h 0.4288 USD/h
California (US) / us-west-1
0.10275 USD/h 0.4416 USD/h
Seoul (KR) / ap-northeast-2
0.07205 USD/h 0.4608 USD/h
Sydney (AU) / ap-southeast-2
0.136067 USD/h 0.4672 USD/h
Singapore (SG) / ap-southeast-1
0.163967 USD/h 0.4672 USD/h
Tokyo (JP) / ap-northeast-1
0.1079 USD/h 0.4864 USD/h
Osaka (JP) / ap-northeast-3
0.1309 USD/h 0.4864 USD/h
Sao Paulo (BR) / sa-east-1
0.06615 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
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
      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

      0.13Score
      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 1,919,289 ops/sec 0.068 50.00% 50.00% -74.00%
      Redis RPS (pipeline=16, SET) 572,500 ops/sec 11,728,058 ops/sec 0.048 20.00% 20.00% -46.00%
      PassMark Memory Mark (composite) 1,845 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 57,015 MB/sec 108,466 MB/sec 0.52 10.00% 10.00% -6.30%
      PassMark single-thread CPU 1,802 Mops/s 2,365 Mops/s 0.75 10.00% 10.00% -2.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 874

      Geekbench Multi-Core

      Score: 4,812

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 10,905
      Compression
      		 137,932
      Encryption
      		 3,946
      Extended Instructions
      		 8,020
      Floating Point Maths
      		 22,204
      Integer Maths
      		 31,629
      Physics
      		 1,527
      Prime Numbers
      		 91
      Single Threaded
      		 1,802
      String Sorting
      		 18,755

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,845
      Database Operations
      		 5,635
      Memory Latency
      		 81
      Memory Read Cached
      		 18,843
      Memory Read Uncached
      		 8,588
      Memory Write
      		 8,041

      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

      INSTANCEvCPUsMEMORYAccelerators
      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

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      t2.2xlarge FAQs