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g6f.large by Amazon Web Services

g6f.large is a Graphics intensive Gen6 large server offered by Amazon Web Services with 2 vCPUs, 8 GiB of memory and 100 GB of storage. The pricing starts at 0.0269 USD per hour.
2 vCPU
8 GiB Memory
100 GB Storage
0.125 GPU
Spare SCore
2870
(All-cores)
2870
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
g6f.large
Description
Graphics intensive Gen6 large
Family
g6f
Hw Virt
Status
active
Observed At
2026-08-10T02:15:38.638342

Availability

REGION / IDSPOTONDEMAND
Oregon (US) / us-west-2
0.0582 USD/h 0.202 USD/h
Ohio (US) / us-east-2
0.037533 USD/h 0.202 USD/h
Northern Virgina (US) / us-east-1
0.0644 USD/h 0.202 USD/h
Stockholm (SE) / eu-north-1
0.0269 USD/h 0.2142 USD/h
Quebec (CA) / ca-central-1
0.2243 USD/h 0.2243 USD/h
Aragón (ES) / eu-south-2
0.100867 USD/h 0.2273 USD/h
Mumbai (IN) / ap-south-1
0.2247 USD/h 0.2426 USD/h
Seoul (KR) / ap-northeast-2
0.0389 USD/h 0.2484 USD/h
Frankfurt (DE) / eu-central-1
0.0889 USD/h 0.2526 USD/h
London (GB) / eu-west-2
0.05395 USD/h 0.2564 USD/h
Sydney (AU) / ap-southeast-2
0.1901 USD/h 0.2626 USD/h
Tokyo (JP) / ap-northeast-1
0.06415 USD/h 0.293 USD/h
Sao Paulo (BR) / sa-east-1
0.2173 USD/h 0.3434 USD/h

Processor

vCPUs
2
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
1
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
32 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
32 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
512 KiB
CPU L3 Cache
4 MiB
CPU L3 Cache Total
4 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, xtopology, 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
1
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
8 GiB
Memory Amount Actual
8 GiB
Memory Generation
DDR4
Memory Speed
3200 Mhz
GPU
GPU Count
0.125
GPU Memory Min
3 GiB
GPU Memory Total
3 GiB
GPU Manufacturer
NVIDIA
GPU Model
L4
GPUs
    STORAGE
    Storage Size
    100 GB
    Storage Type
    nvme ssd
    Storages
    • 100 GB nvme ssd
    NETWORK
    Network Speed Baseline
    1.5 Gbps
    Network Speed Max
    10 Gbps
    Network Storage Speed Baseline
    0.936 Gbps
    Network Storage Speed Max
    5 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An entry-level GPU-accelerated instance featuring dedicated AMD EPYC processing, local NVMe SSD storage, and fractional NVIDIA L4 graphics capabilities.

    GPU AcceleratedCompute OptimizedStorage & Database

    Amazon Web Services g6f.large is an x86_64 graphics-intensive instance running on the Nitro hypervisor. It features a dedicated AMD EPYC 7R13 processor with 2 vCPUs (1 physical core) clocked at 3.4 GHz, 8.0 GB of DDR4 memory, and a 100 GB local NVMe SSD. Acceleration is provided by a fractional NVIDIA L4 GPU with 3 GB of VRAM. Performance benchmarks show strong single-core CPU capabilities, though multi-core and memory bandwidth metrics are relatively weak. The instance achieves average performance in LLM inference prompt processing for small and medium models. This configuration is qualitatively cost-effective for entry-level GPU workloads, lightweight graphics processing, and small-scale machine learning inference, while avoiding the higher costs of full-GPU instances.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.159Score
    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) 163,160 ops/sec 1,910,660 ops/sec 0.0854 50.00% 50.00% -70.80%
    Redis RPS (pipeline=16, SET) 1,316,980 ops/sec 11,608,287 ops/sec 0.113 20.00% 20.00% -35.30%
    PassMark Memory Mark (composite) 1,046 2,416 0.433 10.00% 10.00% -8.03%
    Memory bandwidth (read, 16 MB ~ L3) 40,706 MB/sec 107,896 MB/sec 0.377 10.00% 10.00% -9.29%
    PassMark single-thread CPU 2,588 Mops/s 2,364 Mops/s 1.09 10.00% 10.00% +0.87%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,170

    Geekbench Multi-Core

    Score: 1,179

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 3460
    Compression
    		 35643
    Encryption
    		 2385
    Extended Instructions
    		 1933
    Floating Point Maths
    		 5067
    Integer Maths
    		 9170
    Physics
    		 441
    Prime Numbers
    		 22
    Single Threaded
    		 2588
    String Sorting
    		 5005

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1046
    Database Operations
    		 1035
    Memory Latency
    		 65
    Memory Read Cached
    		 26285
    Memory Read Uncached
    		 16766
    Memory Write
    		 17633

    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
    g6f.xlarge 416 GiB⅛
    g6f.2xlarge 832 GiB¼
    g6f.4xlarge 1664 GiB½

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    g6f.large FAQs