c4.8xlarge by Amazon Web Services

c4.8xlarge is a Compute optimized Gen4 8xlarge server offered by Amazon Web Services with 36 vCPUs, 60 GiB of memory and 0 GB of storage. The pricing starts at 0.2106 USD per hour.
36 vCPU
60 GiB Memory
Spare SCore
34,011
(All-cores)
1,436
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c4.8xlarge
Description
Compute optimized Gen4 8xlarge
Family
c4
Hw Virt
Status
active
Observed At
2026-11-09T09:42:29.504915

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.2447 USD/h 1.591 USD/h
Northern Virgina (US) / us-east-1
0.557283 USD/h 1.591 USD/h
Oregon (US) / us-west-2
0.5022 USD/h 1.591 USD/h
Mumbai (IN) / ap-south-1
0.4044 USD/h 1.6 USD/h
Quebec (CA) / ca-central-1
0.48175 USD/h 1.75 USD/h
Dublin (IE) / eu-west-1
0.626167 USD/h 1.811 USD/h
Seoul (KR) / ap-northeast-2
0.44895 USD/h 1.815 USD/h
Frankfurt (DE) / eu-central-1
0.674333 USD/h 1.817 USD/h
Singapore (SG) / ap-southeast-1
0.680767 USD/h 1.848 USD/h
London (GB) / eu-west-2
0.515833 USD/h 1.902 USD/h
California (US) / us-west-1
0.58 USD/h 1.993 USD/h
Osaka (JP) / ap-northeast-3
0.5773 USD/h 2.016 USD/h
Tokyo (JP) / ap-northeast-1
0.6885 USD/h 2.016 USD/h
Sydney (AU) / ap-southeast-2
0.735033 USD/h 2.085 USD/h
Sao Paulo (BR) / sa-east-1
0.248 USD/h 2.47 USD/h

Processor

vCPUs
36
Hypervisor
xen
CPU Allocation
Dedicated
CPU Cores
18
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
576 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
576 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
5 MiB
CPU L3 Cache
25 MiB
CPU L3 Cache Total
50 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, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, monitor, est, 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, ida
Ecpus
23.7
Scalability
65.83

System Resources and Accelerators

MEMORY
Memory Amount
60 GiB
Memory Amount Actual
60 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
      10 Gbps
      Network Speed Max
      10 Gbps
      Network Storage Speed Baseline
      4 Gbps
      Network Storage Speed Max
      4 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A dedicated 36-vCPU compute-optimized instance designed for high-throughput CPU workloads, software compilation, and multi-threaded data processing.

      Compute Optimized

      Amazon Web Services c4.8xlarge is a compute-optimized instance featuring 36 dedicated vCPUs from an Intel Xeon E5-2666 v3 processor running at 2.9 GHz. Built on the Xen hypervisor, it provides 60.0 GB of system memory, or 1.67 GB per core, but lacks local storage and GPU hardware. Network performance is anchored by a 10 Gbps baseline bandwidth. Benchmark data shows average performance across standard compute tasks, with a Geekbench multi-core score of 10598.0 and a Redis SET throughput of 30.6 million operations per second. However, the instance exhibits weak performance in LLM text generation, making it less suitable for modern AI workloads. It is highly effective for traditional CPU-intensive tasks, including software compilation, static web serving, and multi-threaded data decompression.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.4Score
      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) 3,286,860 ops/sec 1,922,940 ops/sec 1.7 50.00% 50.00% +30.00%
      Redis RPS (pipeline=16, SET) 19,317,554 ops/sec 11,797,257 ops/sec 1.6 20.00% 20.00% +9.90%
      PassMark Memory Mark (composite) 2,611 2,406 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 119,643 MB/sec 108,657 MB/sec 1.1 10.00% 10.00% +0.96%
      PassMark single-thread CPU 2,113 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,213

      Geekbench Multi-Core

      Score: 10,598

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 30,959
      Compression
      		 507,180
      Encryption
      		 15,613
      Extended Instructions
      		 25,090
      Floating Point Maths
      		 70,323
      Integer Maths
      		 113,654
      Physics
      		 2,445
      Prime Numbers
      		 143
      Single Threaded
      		 2,113
      String Sorting
      		 58,893

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,611
      Database Operations
      		 12,382
      Memory Latency
      		 54
      Memory Read Cached
      		 24,486
      Memory Read Uncached
      		 10,706
      Memory Write
      		 10,165

      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
      c4.4xlarge 1630 GiB0

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      c4.8xlarge FAQs