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c4.2xlarge by Amazon Web Services

c4.2xlarge is a Compute optimized Gen4 2xlarge server offered by Amazon Web Services with 8 vCPUs, 15 GiB of memory and 0 GB of storage. The pricing starts at 0.0897 USD per hour.
8 vCPU
15 GiB Memory
Spare SCore
7763
(All-cores)
1471
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c4.2xlarge
Description
Compute optimized Gen4 2xlarge
Family
c4
Hw Virt
Status
active
Observed At
2026-07-29T14:12:09.210346

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.123567 USD/h 0.398 USD/h
Northern Virgina (US) / us-east-1
0.178333 USD/h 0.398 USD/h
Oregon (US) / us-west-2
0.1566 USD/h 0.398 USD/h
Mumbai (IN) / ap-south-1
0.0972 USD/h 0.4 USD/h
Quebec (CA) / ca-central-1
0.1588 USD/h 0.438 USD/h
Dublin (IE) / eu-west-1
0.1831 USD/h 0.453 USD/h
Seoul (KR) / ap-northeast-2
0.14685 USD/h 0.454 USD/h
Frankfurt (DE) / eu-central-1
0.184567 USD/h 0.454 USD/h
Singapore (SG) / ap-southeast-1
0.164367 USD/h 0.462 USD/h
London (GB) / eu-west-2
0.1653 USD/h 0.476 USD/h
California (US) / us-west-1
0.1462 USD/h 0.498 USD/h
Tokyo (JP) / ap-northeast-1
0.136867 USD/h 0.504 USD/h
Osaka (JP) / ap-northeast-3
0.1493 USD/h 0.504 USD/h
Sydney (AU) / ap-southeast-2
0.1858 USD/h 0.522 USD/h
Sao Paulo (BR) / sa-east-1
0.1273 USD/h 0.618 USD/h

Processor

vCPUs
8
Hypervisor
xen
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2666 v3
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
1 MiB
CPU L3 Cache
25 MiB
CPU L3 Cache Total
25 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, pti, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, xsaveopt
Ecpus
5.3
Scalability
132.5

System Resources and Accelerators

MEMORY
Memory Amount
15 GiB
Memory Amount Actual
15 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
      2.5 Gbps
      Network Speed Max
      10 Gbps
      Network Storage Speed Baseline
      1 Gbps
      Network Storage Speed Max
      1 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A dedicated compute-optimized instance featuring Intel Xeon processors and balanced memory for standard web serving and compilation workloads.

      Compute OptimizedGeneral Purpose

      Amazon Web Services c4.2xlarge is a compute-optimized, fourth-generation instance powered by an Intel Xeon E5-2666 v3 processor. Operating on the x86_64 architecture under the Xen hypervisor, it features 8 dedicated vCPUs across 4 physical cores, 15.0 GB of system memory, and a baseline network bandwidth of 2 Gbps. The instance does not include local storage or GPU accelerators. Benchmark results indicate average performance across standard compute tasks, with a Geekbench multi-core score of 4493.0 and a static web serving throughput of 6.85 GB/sec. However, it exhibits weaker performance in multi-threaded decompression and Redis operations. The c4.2xlarge is best suited for dedicated compute workloads such as software compilation, static web serving, and basic image processing, offering a stable, legacy hardware profile for non-database-heavy applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.384Score
      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) 613,885 ops/sec 1,896,415 ops/sec 0.324 50.00% 50.00% -43.10%
      Redis RPS (pipeline=16, SET) 2,579,902 ops/sec 11,539,523 ops/sec 0.224 20.00% 20.00% -25.90%
      PassMark Memory Mark (composite) 2,157 2,411 0.895 10.00% 10.00% -1.10%
      Memory bandwidth (read, 16 MB ~ L3) 53,948 MB/sec 107,368 MB/sec 0.502 10.00% 10.00% -6.66%
      PassMark single-thread CPU 2,042 Mops/s 2,363 Mops/s 0.864 10.00% 10.00% -1.45%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,182

      Geekbench Multi-Core

      Score: 4,493

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 8432
      Compression
      		 114115
      Encryption
      		 3508
      Extended Instructions
      		 5415
      Floating Point Maths
      		 13815
      Integer Maths
      		 25155
      Physics
      		 985
      Prime Numbers
      		 53
      Single Threaded
      		 2042
      String Sorting
      		 13545

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2157
      Database Operations
      		 2882
      Memory Latency
      		 54
      Memory Read Cached
      		 24530
      Memory Read Uncached
      		 11241
      Memory Write
      		 10543

      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
      c4.large 24 GiB0
      c4.xlarge 48 GiB0
      c4.4xlarge 1630 GiB0
      c4.8xlarge 3660 GiB0

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      c4.2xlarge FAQs