c4.4xlarge by Amazon Web Services

c4.4xlarge is a Compute optimized Gen4 4xlarge server offered by Amazon Web Services with 16 vCPUs, 30 GiB of memory and 0 GB of storage. The pricing starts at 0.1343 USD per hour.
16 vCPU
30 GiB Memory
Spare SCore
15,220
(All-cores)
1,441
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c4.4xlarge
Description
Compute optimized Gen4 4xlarge
Family
c4
Hw Virt
Status
active
Observed At
2026-10-27T21:16:36.565423

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.211633 USD/h 0.796 USD/h
Oregon (US) / us-west-2
0.2832 USD/h 0.796 USD/h
Northern Virgina (US) / us-east-1
0.350183 USD/h 0.796 USD/h
Mumbai (IN) / ap-south-1
0.27545 USD/h 0.8 USD/h
Quebec (CA) / ca-central-1
0.29565 USD/h 0.876 USD/h
Dublin (IE) / eu-west-1
0.363667 USD/h 0.905 USD/h
Seoul (KR) / ap-northeast-2
0.228 USD/h 0.907 USD/h
Frankfurt (DE) / eu-central-1
0.3104 USD/h 0.909 USD/h
Singapore (SG) / ap-southeast-1
0.292867 USD/h 0.924 USD/h
London (GB) / eu-west-2
0.3244 USD/h 0.95 USD/h
California (US) / us-west-1
0.1612 USD/h 0.997 USD/h
Tokyo (JP) / ap-northeast-1
0.313133 USD/h 1.008 USD/h
Osaka (JP) / ap-northeast-3
0.2706 USD/h 1.008 USD/h
Sydney (AU) / ap-southeast-2
0.352333 USD/h 1.042 USD/h
Sao Paulo (BR) / sa-east-1
0.13665 USD/h 1.235 USD/h

Processor

vCPUs
16
Hypervisor
xen
CPU Allocation
Dedicated
CPU Cores
8
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
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
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
10.6
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
30 GiB
Memory Amount Actual
30 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
      5 Gbps
      Network Speed Max
      10 Gbps
      Network Storage Speed Baseline
      2 Gbps
      Network Storage Speed Max
      2 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A dedicated compute-optimized virtual server featuring sixteen Intel Xeon vCPUs and thirty gigabytes of memory for processing-heavy workloads.

      Compute OptimizedGeneral Purpose

      The Amazon Web Services c4.4xlarge is a compute-optimized instance featuring 16 dedicated vCPUs from an Intel Xeon E5-2666 v3 processor running at 2.9 GHz. Built on the x86_64 architecture and managed via the Xen hypervisor, it provides 30.0 GB of system memory, translating to 1.88 GB per core. The instance does not include local storage or GPU accelerators, relying instead on network-attached storage and offering a baseline network bandwidth of 5 Gbps. Performance benchmarks place this server in the average tier, with a Geekbench multi-core score of 7354.0 and a static web serving throughput of 11.52 GB/sec. Although Redis SET operations are relatively weak at 6.16 million operations per second, its strong compute capabilities make it highly suitable for CPU-intensive tasks such as software compilation, web serving, and lightweight machine learning inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.64Score
      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) 1,198,320 ops/sec 1,918,343 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 4,948,546 ops/sec 11,704,734 ops/sec 0.41 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 2,479 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 93,538 MB/sec 108,420 MB/sec 0.85 10.00% 10.00% -1.60%
      PassMark single-thread CPU 2,049 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: 7,354

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 15,674
      Compression
      		 226,640
      Encryption
      		 7,013
      Extended Instructions
      		 10,982
      Floating Point Maths
      		 27,547
      Integer Maths
      		 50,342
      Physics
      		 1,617
      Prime Numbers
      		 82
      Single Threaded
      		 2,049
      String Sorting
      		 26,528

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,479
      Database Operations
      		 5,697
      Memory Latency
      		 55
      Memory Read Cached
      		 24,514
      Memory Read Uncached
      		 10,632
      Memory Write
      		 10,159

      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
      c4.2xlarge 815 GiB0
      c4.8xlarge 3660 GiB0

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      c4.4xlarge FAQs