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 0.0719 USD per hour.
8 vCPU
15 GiB Memory
Spare SCore
7,763
(All-cores)
1,471
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c4.2xlarge
Description
Compute optimized Gen4 2xlarge
Family
c4
Hw Virt
Status
active
Observed At
2026-10-28T16:57:27.602725

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.096467 USD/h 0.398 USD/h
Oregon (US) / us-west-2
0.156567 USD/h 0.398 USD/h
Northern Virgina (US) / us-east-1
0.19935 USD/h 0.398 USD/h
Mumbai (IN) / ap-south-1
0.12655 USD/h 0.4 USD/h
Quebec (CA) / ca-central-1
0.1366 USD/h 0.438 USD/h
Dublin (IE) / eu-west-1
0.1779 USD/h 0.453 USD/h
Seoul (KR) / ap-northeast-2
0.12205 USD/h 0.454 USD/h
Frankfurt (DE) / eu-central-1
0.1966 USD/h 0.454 USD/h
Singapore (SG) / ap-southeast-1
0.155133 USD/h 0.462 USD/h
London (GB) / eu-west-2
0.136033 USD/h 0.476 USD/h
California (US) / us-west-1
0.13005 USD/h 0.498 USD/h
Tokyo (JP) / ap-northeast-1
0.157033 USD/h 0.504 USD/h
Osaka (JP) / ap-northeast-3
0.1454 USD/h 0.504 USD/h
Sydney (AU) / ap-southeast-2
0.1884 USD/h 0.522 USD/h
Sao Paulo (BR) / sa-east-1
0.09485 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
66.25

System Resources and Accelerators

MEMORY
Memory Amount
15 GiB
Memory Amount Actual
15 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
      2.5 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 virtual server featuring Intel Xeon processors, tailored for CPU-intensive workloads requiring no local storage.

      Compute Optimized

      Amazon Web Services c4.2xlarge is a compute-optimized virtual server featuring 8 vCPUs and 15.0 GB of memory, running on an Intel Xeon E5-2666 v3 processor at 2.9 GHz. Utilizing the Xen hypervisor and x86_64 architecture, this instance allocates dedicated CPU resources but does not include local storage or GPU accelerators. It offers a baseline network bandwidth of 2 Gbps. Performance benchmarks generally fall into the average tier, 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, and poor throughput for medium-sized LLM inference. Qualitatively, the c4.2xlarge provides a cost-effective option for compute-heavy tasks that do not require local NVMe storage. It is best suited for workloads such as software compilation, static web serving, image processing, and moderate CPU-based simulations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.38Score
      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 1,919,289 ops/sec 0.32 50.00% 50.00% -43.00%
      Redis RPS (pipeline=16, SET) 2,579,902 ops/sec 11,728,058 ops/sec 0.22 20.00% 20.00% -26.00%
      PassMark Memory Mark (composite) 2,157 2,416 0.92 10.00% 10.00% -0.83%
      Memory bandwidth (read, 16 MB ~ L3) 53,948 MB/sec 108,466 MB/sec 0.49 10.00% 10.00% -6.90%
      PassMark single-thread CPU 2,042 Mops/s 2,365 Mops/s 0.83 10.00% 10.00% -1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,182

      Geekbench Multi-Core

      Score: 4,493

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      8,432
      Compression
      114,115
      Encryption
      3,508
      Extended Instructions
      5,415
      Floating Point Maths
      13,815
      Integer Maths
      25,155
      Physics
      985
      Prime Numbers
      53
      Single Threaded
      2,042
      String Sorting
      13,545

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,157
      Database Operations
      2,882
      Memory Latency
      54
      Memory Read Cached
      24,530
      Memory Read Uncached
      11,241
      Memory Write
      10,543

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

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      c4.2xlarge FAQs