r4.large by Amazon Web Services

r4.large is a Memory optimized Gen4 large server offered by Amazon Web Services with 2 vCPUs, 15 GiB of memory and 0 GB of storage. The pricing starts at 0.0254 USD per hour.
2 vCPU
15 GiB Memory
Spare SCore
1,029
(All-cores)
875
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
r4.large
Description
Memory optimized Gen4 large
Family
r4
Hw Virt
Status
active
Observed At
2026-09-15T14:22:29.913228

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.026467 USD/h 0.133 USD/h
Oregon (US) / us-west-2
0.042567 USD/h 0.133 USD/h
Northern Virgina (US) / us-east-1
0.06005 USD/h 0.133 USD/h
Mumbai (IN) / ap-south-1
0.05175 USD/h 0.137 USD/h
Quebec (CA) / ca-central-1
0.05245 USD/h 0.146 USD/h
California (US) / us-west-1
0.0477 USD/h 0.1482 USD/h
Dublin (IE) / eu-west-1
0.060133 USD/h 0.1482 USD/h
London (GB) / eu-west-2
0.048167 USD/h 0.156 USD/h
Paris (FR) / eu-west-3
0.052633 USD/h 0.156 USD/h
Sydney (AU) / ap-southeast-2
0.060267 USD/h 0.1596 USD/h
Seoul (KR) / ap-northeast-2
0.0465 USD/h 0.16 USD/h
Tokyo (JP) / ap-northeast-1
0.057733 USD/h 0.16 USD/h
Frankfurt (DE) / eu-central-1
0.059033 USD/h 0.16 USD/h
Singapore (SG) / ap-southeast-1
0.072733 USD/h 0.16 USD/h
Osaka (JP) / ap-northeast-3
0.0672 USD/h 0.16 USD/h
Sao Paulo (BR) / sa-east-1
0.0317 USD/h 0.28 USD/h

Processor

vCPUs
2
Hypervisor
xen
CPU Allocation
Dedicated
CPU Cores
1
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
32 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
32 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
256 KiB
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, cpuid, aperfmperf, 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, 3dnowprefetch, cpuid_fault, pti, fsgsbase, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, rdseed, adx, xsaveopt
Ecpus
1.2
Scalability
120

System Resources and Accelerators

MEMORY
Memory Amount
15 GiB
Memory Amount Actual
15 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
      0.75 Gbps
      Network Speed Max
      10 Gbps
      Network Storage Speed Baseline
      0.425 Gbps
      Network Storage Speed Max
      0.425 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A legacy memory-optimized instance offering high memory density for lightweight, memory-bound workloads and small-scale database operations.

      Memory OptimizedGeneral Purpose

      Amazon Web Services r4.large is a memory-optimized, fourth-generation instance configured with 2 vCPUs and 15.0 GB of RAM. Powered by an Intel Xeon E5-2686 v4 processor running at 2.3 GHz on the Xen hypervisor, this x86_64 instance provides a high memory-to-vCPU ratio of 7.5 GB per vCPU. It does not include local storage or GPU accelerators, and features a baseline network bandwidth of 1 Gbps. Performance benchmarks, including stress-ng and Geekbench, place the instance in the bottom 10% for compute and memory bandwidth, with uncached large-block memory read speeds at 8.31 GB/sec. Consequently, the r4.large represents a legacy tier with lower computational efficiency but high memory density. It is best suited for memory-bound workloads with low CPU requirements, such as small database operations, caching layers, and legacy enterprise applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.104Score
      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) 116,740 ops/sec 1,917,397 ops/sec 0.0609 50.00% 50.00% -75.30%
      Redis RPS (pipeline=16, SET) 505,956 ops/sec 11,681,410 ops/sec 0.0433 20.00% 20.00% -46.60%
      PassMark Memory Mark (composite) 1,499 2,418 0.62 10.00% 10.00% -4.67%
      Memory bandwidth (read, 16 MB ~ L3) 25,523 MB/sec 108,140 MB/sec 0.236 10.00% 10.00% -13.40%
      PassMark single-thread CPU 1,572 Mops/s 2,365 Mops/s 0.665 10.00% 10.00% -4.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 846

      Geekbench Multi-Core

      Score: 980

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 1584
      Compression
      		 20971
      Encryption
      		 463
      Extended Instructions
      		 998
      Floating Point Maths
      		 2720
      Integer Maths
      		 4725
      Physics
      		 228
      Prime Numbers
      		 13
      Single Threaded
      		 1572
      String Sorting
      		 3121

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1499
      Database Operations
      		 600
      Memory Latency
      		 55
      Memory Read Cached
      		 19402
      Memory Read Uncached
      		 9542
      Memory Write
      		 6959

      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.xlarge 431 GiB0
      r4.2xlarge 861 GiB0
      r4.4xlarge 16122 GiB0
      r4.8xlarge 32244 GiB0
      r4.16xlarge 64488 GiB0

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      r4.large FAQs