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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 0.2088 USD per hour.
16 vCPU
30 GiB Memory
Spare SCore
15220
(All-cores)
1441
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c4.4xlarge
Description
Compute optimized Gen4 4xlarge
Family
c4
Hw Virt
Status
active
Observed At
2026-07-29T14:12:09.203025

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.2496 USD/h 0.796 USD/h
Northern Virgina (US) / us-east-1
0.309083 USD/h 0.796 USD/h
Oregon (US) / us-west-2
0.2955 USD/h 0.796 USD/h
Mumbai (IN) / ap-south-1
0.21955 USD/h 0.8 USD/h
Quebec (CA) / ca-central-1
0.3296 USD/h 0.876 USD/h
Dublin (IE) / eu-west-1
0.379233 USD/h 0.905 USD/h
Seoul (KR) / ap-northeast-2
0.26085 USD/h 0.907 USD/h
Frankfurt (DE) / eu-central-1
0.3391 USD/h 0.909 USD/h
Singapore (SG) / ap-southeast-1
0.3016 USD/h 0.924 USD/h
London (GB) / eu-west-2
0.4027 USD/h 0.95 USD/h
California (US) / us-west-1
0.25635 USD/h 0.997 USD/h
Tokyo (JP) / ap-northeast-1
0.287467 USD/h 1.008 USD/h
Osaka (JP) / ap-northeast-3
0.2939 USD/h 1.008 USD/h
Sydney (AU) / ap-southeast-2
0.3658 USD/h 1.042 USD/h
Sao Paulo (BR) / sa-east-1
0.37805 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
132.5

System Resources and Accelerators

MEMORY
Memory Amount
30 GiB
Memory Amount Actual
30 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
      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 vCPUs and thirty gigabytes of memory for CPU-intensive processing tasks.

      Compute Optimized

      Amazon Web Services c4.4xlarge is a compute-optimized instance designed for CPU-intensive workloads. Powered by the Xen hypervisor, it features a dedicated Intel Xeon E5-2666 v3 processor with 16 vCPUs, 8 physical cores, and a 2.9 GHz clock speed. The hardware configuration includes 30.0 GB of memory, a 25 MB L3 cache, and support for AVX and FMA instruction sets. It does not include local storage or integrated GPUs, relying on network-attached storage and offering a baseline network bandwidth of 5 Gbps. Benchmark results show average performance, with a PassMark CPU score of 15674.33 and a Redis SET throughput of 6.16 million operations per second. While it handles small-model LLM inference efficiently, performance drops on larger models. This instance is best suited for compute-heavy applications such as software compilation, ray tracing, and static web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.654Score
      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 1,896,415 ops/sec 0.632 50.00% 50.00% -20.50%
      Redis RPS (pipeline=16, SET) 4,948,546 ops/sec 11,539,523 ops/sec 0.429 20.00% 20.00% -15.60%
      PassMark Memory Mark (composite) 2,479 2,411 1.03 10.00% 10.00% +0.30%
      Memory bandwidth (read, 16 MB ~ L3) 93,538 MB/sec 107,368 MB/sec 0.871 10.00% 10.00% -1.37%
      PassMark single-thread CPU 2,049 Mops/s 2,363 Mops/s 0.867 10.00% 10.00% -1.42%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,182

      Geekbench Multi-Core

      Score: 7,354

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 15674
      Compression
      		 226640
      Encryption
      		 7013
      Extended Instructions
      		 10982
      Floating Point Maths
      		 27547
      Integer Maths
      		 50342
      Physics
      		 1617
      Prime Numbers
      		 82
      Single Threaded
      		 2049
      String Sorting
      		 26528

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2479
      Database Operations
      		 5697
      Memory Latency
      		 55
      Memory Read Cached
      		 24514
      Memory Read Uncached
      		 10632
      Memory Write
      		 10159

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

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      c4.4xlarge FAQs