r4.8xlarge by Amazon Web Services

r4.8xlarge is a Memory optimized Gen4 8xlarge server offered by Amazon Web Services with 32 vCPUs, 244 GiB of memory and 0 GB of storage. The pricing starts at 0.4305 USD per hour.
32 vCPU
244 GiB Memory
Spare SCore
16,338
(All-cores)
861
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
r4.8xlarge
Description
Memory optimized Gen4 8xlarge
Family
r4
Hw Virt
Status
active
Observed At
2026-09-14T01:58:16.709521

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.4796 USD/h 2.128 USD/h
Northern Virgina (US) / us-east-1
0.8746 USD/h 2.128 USD/h
Oregon (US) / us-west-2
0.738567 USD/h 2.128 USD/h
Mumbai (IN) / ap-south-1
0.66235 USD/h 2.192 USD/h
Quebec (CA) / ca-central-1
0.87985 USD/h 2.336 USD/h
California (US) / us-west-1
0.72055 USD/h 2.3712 USD/h
Dublin (IE) / eu-west-1
0.962367 USD/h 2.3712 USD/h
Paris (FR) / eu-west-3
0.692533 USD/h 2.496 USD/h
London (GB) / eu-west-2
0.706533 USD/h 2.496 USD/h
Sydney (AU) / ap-southeast-2
0.979533 USD/h 2.5536 USD/h
Seoul (KR) / ap-northeast-2
0.6806 USD/h 2.56 USD/h
Tokyo (JP) / ap-northeast-1
0.723733 USD/h 2.56 USD/h
Osaka (JP) / ap-northeast-3
0.7932 USD/h 2.56 USD/h
Singapore (SG) / ap-southeast-1
1.019067 USD/h 2.56 USD/h
Frankfurt (DE) / eu-central-1
1.010367 USD/h 2.5608 USD/h
Sao Paulo (BR) / sa-east-1
0.4955 USD/h 4.48 USD/h

Processor

vCPUs
32
Hypervisor
xen
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2686 v4
CPU L1D Cache
32 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
45 MiB
CPU L3 Cache Total
45 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, 3dnowprefetch, cpuid_fault, invpcid_single, pti, fsgsbase, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, rdseed, adx, xsaveopt, ida
Ecpus
19
Scalability
118.75

System Resources and Accelerators

MEMORY
Memory Amount
244 GiB
Memory Amount Actual
244 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
      12 Gbps
      Network Speed Max
      12 Gbps
      Network Storage Speed Baseline
      7 Gbps
      Network Storage Speed Max
      7 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A memory-optimized server featuring high memory density and balanced multi-core performance for database and caching workloads.

      Memory OptimizedGeneral Purpose

      Amazon Web Services r4.8xlarge is a memory-optimized fourth-generation instance featuring 32 vCPUs and 244.0 GB of RAM. Powered by an Intel Xeon E5-2686 v4 processor running at 2.3 GHz, this x86_64 architecture server utilizes the Xen hypervisor. It does not include local storage or GPU accelerators. Performance benchmarks show a distinct tradeoff: single-core performance is poor, ranking in the bottom 10%, whereas multi-core performance and memory bandwidth consistently reach average tiers. This resource profile makes the r4.8xlarge qualitatively cost-effective for memory-bound workloads rather than compute-intensive tasks. It is best suited for databases, Redis caching layers, and memory-intensive enterprise applications that benefit from its high memory-to-vCPU ratio and 12 Gbps baseline network bandwidth.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.953Score
      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) 2,053,454 ops/sec 1,917,397 ops/sec 1.07 50.00% 50.00% +3.44%
      Redis RPS (pipeline=16, SET) 12,464,041 ops/sec 11,681,410 ops/sec 1.07 20.00% 20.00% +1.36%
      PassMark Memory Mark (composite) 2,242 2,418 0.927 10.00% 10.00% -0.76%
      Memory bandwidth (read, 16 MB ~ L3) 62,709 MB/sec 108,140 MB/sec 0.58 10.00% 10.00% -5.30%
      PassMark single-thread CPU 1,687 Mops/s 2,365 Mops/s 0.713 10.00% 10.00% -3.33%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 917

      Geekbench Multi-Core

      Score: 7,865

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      20330
      Compression
      327710
      Encryption
      7368
      Extended Instructions
      17233
      Floating Point Maths
      47967
      Integer Maths
      75974
      Physics
      1348
      Prime Numbers
      109
      Single Threaded
      1687
      String Sorting
      47902

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2242
      Database Operations
      9134
      Memory Latency
      56
      Memory Read Cached
      18985
      Memory Read Uncached
      9710
      Memory Write
      6955

      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
      r4.large 215 GiB0
      r4.xlarge 431 GiB0
      r4.2xlarge 861 GiB0
      r4.4xlarge 16122 GiB0
      r4.16xlarge 64488 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      r4.8xlarge FAQs