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gr6f.4xlarge by Amazon Web Services

gr6f.4xlarge is a Graphics intensive with a one to eight ratio of vCPU to memory Gen6 4xlarge server offered by Amazon Web Services with 16 vCPUs, 128 GiB of memory and 450 GB of storage. The pricing starts at 0.1344 USD per hour.
16 vCPU
128 GiB Memory
450 GB Storage
0.5 GPU
Spare SCore
23877
(All-cores)
2989
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
gr6f.4xlarge
Description
Graphics intensive with a one to eight ratio of vCPU to memory Gen6 4xlarge
Family
gr6f
Hw Virt
Status
active
Observed At
2026-08-02T02:53:04.467160

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.3168 USD/h 1.066 USD/h
Oregon (US) / us-west-2
0.3727 USD/h 1.066 USD/h
Northern Virgina (US) / us-east-1
0.6683 USD/h 1.066 USD/h
Stockholm (SE) / eu-north-1
0.25195 USD/h 1.1307 USD/h
Quebec (CA) / ca-central-1
0.79385 USD/h 1.1836 USD/h
Aragón (ES) / eu-south-2
0.5224 USD/h 1.1992 USD/h
Mumbai (IN) / ap-south-1
1.21895 USD/h 1.2801 USD/h
Seoul (KR) / ap-northeast-2
0.3716 USD/h 1.3108 USD/h
Frankfurt (DE) / eu-central-1
0.57235 USD/h 1.3331 USD/h
London (GB) / eu-west-2
0.4532 USD/h 1.3532 USD/h
Sydney (AU) / ap-southeast-2
0.85985 USD/h 1.386 USD/h
Tokyo (JP) / ap-northeast-1
0.40015 USD/h 1.546 USD/h
Sao Paulo (BR) / sa-east-1
1.50695 USD/h 1.812 USD/h

Processor

vCPUs
16
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
3.4 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7R13
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
512 KiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 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, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, nonstop_tsc, cpuid, extd_apicid, aperfmperf, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, fsgsbase, bmi1, avx2, smep, bmi2, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, clzero, xsaveerptr, rdpru, wbnoinvd, arat, npt, nrip_save, vaes, vpclmulqdq, rdpid
Ecpus
8
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 GiB
Memory Generation
DDR4
Memory Speed
3200 Mhz
GPU
GPU Count
0.5
GPU Memory Min
11 GiB
GPU Memory Total
11 GiB
GPU Manufacturer
NVIDIA
GPU Model
L4
GPUs
    STORAGE
    Storage Size
    450 GB
    Storage Type
    nvme ssd
    Storages
    • 450 GB nvme ssd
    NETWORK
    Network Speed Baseline
    10 Gbps
    Network Speed Max
    25 Gbps
    Network Storage Speed Baseline
    8 Gbps
    Network Storage Speed Max
    8 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An x86 virtual server combining a fractional graphics accelerator with a high memory-to-vCPU ratio and local NVMe storage.

    GPU AcceleratedMemory OptimizedStorage & Database

    Amazon Web Services gr6f.4xlarge is a graphics-intensive virtual server utilizing the Nitro hypervisor. It features 16 dedicated vCPUs from an AMD EPYC 7R13 processor running at 3.4 GHz, 128.0 GB of DDR4 memory, and a fractional NVIDIA L4 GPU with 11 GB of VRAM. Storage is supported by a local 450 GB NVMe SSD, and network throughput baseline is 10 Gbps. Benchmarks show strong single-core CPU performance and top-tier LLM inference prompt processing speeds, though uncached large-block memory bandwidth is weak. With its 1:8 vCPU-to-memory ratio, this instance provides qualitative cost efficiency for memory-heavy workloads requiring moderate GPU acceleration. It is suited for graphics rendering, database operations, and small-to-medium language model inference.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.726Score
    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) 1,293,223 ops/sec 1,896,415 ops/sec 0.682 50.00% 50.00% -17.40%
    Redis RPS (pipeline=16, SET) 9,407,848 ops/sec 11,539,523 ops/sec 0.815 20.00% 20.00% -4.01%
    PassMark Memory Mark (composite) 2,498 2,411 1.04 10.00% 10.00% +0.39%
    Memory bandwidth (read, 16 MB ~ L3) 38,685 MB/sec 107,368 MB/sec 0.36 10.00% 10.00% -9.71%
    PassMark single-thread CPU 2,634 Mops/s 2,363 Mops/s 1.11 10.00% 10.00% +1.05%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,655

    Geekbench Multi-Core

    Score: 9,384

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    22765
    Compression
    274180
    Encryption
    17546
    Extended Instructions
    15545
    Floating Point Maths
    39155
    Integer Maths
    70306
    Physics
    2100
    Prime Numbers
    94
    Single Threaded
    2634
    String Sorting
    37182

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    2498
    Database Operations
    6512
    Memory Latency
    70
    Memory Read Cached
    26574
    Memory Read Uncached
    16098
    Memory Write
    16349

    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

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    gr6f.4xlarge FAQs