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g6f.2xlarge by Amazon Web Services

g6f.2xlarge is a Graphics intensive Gen6 2xlarge server offered by Amazon Web Services with 8 vCPUs, 32 GiB of memory and 200 GB of storage. The pricing starts at 0.0906 USD per hour.
8 vCPU
32 GiB Memory
200 GB Storage
0.25 GPU
Spare SCore
11911
(All-cores)
2974
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
g6f.2xlarge
Description
Graphics intensive Gen6 2xlarge
Family
g6f
Hw Virt
Status
active
Observed At
2026-07-30T06:13:02.150282

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.113633 USD/h 0.475 USD/h
Oregon (US) / us-west-2
0.1903 USD/h 0.475 USD/h
Northern Virgina (US) / us-east-1
0.2429 USD/h 0.475 USD/h
Stockholm (SE) / eu-north-1
0.1441 USD/h 0.5038 USD/h
Quebec (CA) / ca-central-1
0.5274 USD/h 0.5274 USD/h
Aragón (ES) / eu-south-2
0.262633 USD/h 0.5344 USD/h
Mumbai (IN) / ap-south-1
0.2844 USD/h 0.5704 USD/h
Seoul (KR) / ap-northeast-2
0.184333 USD/h 0.5841 USD/h
Frankfurt (DE) / eu-central-1
0.23505 USD/h 0.594 USD/h
London (GB) / eu-west-2
0.2262 USD/h 0.603 USD/h
Sydney (AU) / ap-southeast-2
0.32545 USD/h 0.6176 USD/h
Tokyo (JP) / ap-northeast-1
0.1942 USD/h 0.6889 USD/h
Sao Paulo (BR) / sa-east-1
0.3593 USD/h 0.8074 USD/h

Processor

vCPUs
8
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
4
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
16 MiB
CPU L3 Cache Total
16 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
4
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
Memory Generation
DDR4
Memory Speed
3200 Mhz
GPU
GPU Count
0.25
GPU Memory Min
6 GiB
GPU Memory Total
6 GiB
GPU Manufacturer
NVIDIA
GPU Model
L4
GPUs
    STORAGE
    Storage Size
    200 GB
    Storage Type
    nvme ssd
    Storages
    • 200 GB nvme ssd
    NETWORK
    Network Speed Baseline
    5 Gbps
    Network Speed Max
    10 Gbps
    Network Storage Speed Baseline
    2 Gbps
    Network Storage Speed Max
    5 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    A balanced virtual machine featuring fractional GPU acceleration, dedicated AMD EPYC processing, and local NVMe storage for entry-level accelerated workloads.

    GPU AcceleratedGeneral PurposeStorage & Database

    Amazon Web Services g6f.2xlarge is a graphics-intensive instance featuring an x86_64 AMD EPYC 7R13 processor running at 3.4 GHz with 8 dedicated vCPUs and 32.0 GB of DDR4 memory. It integrates a fractional NVIDIA L4 GPU with 6 GB of VRAM and a 200 GB local NVMe SSD. Benchmarks show strong single-core CPU performance and top-tier prompt processing speeds for medium 7B LLM models, though large-block uncached memory bandwidth is weak. With 5 Gbps baseline network bandwidth, this instance offers a cost-efficient entry point for workloads requiring modest GPU acceleration, such as lightweight machine learning inference, graphics rendering, and media transcoding, without the cost of a dedicated full GPU.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.449Score
    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) 638,022 ops/sec 1,896,415 ops/sec 0.336 50.00% 50.00% -42.00%
    Redis RPS (pipeline=16, SET) 4,669,008 ops/sec 11,539,523 ops/sec 0.405 20.00% 20.00% -16.50%
    PassMark Memory Mark (composite) 2,378 2,411 0.986 10.00% 10.00% -0.14%
    Memory bandwidth (read, 16 MB ~ L3) 46,137 MB/sec 107,368 MB/sec 0.43 10.00% 10.00% -8.09%
    PassMark single-thread CPU 2,620 Mops/s 2,363 Mops/s 1.11 10.00% 10.00% +1.05%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,596

    Geekbench Multi-Core

    Score: 5,712

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 11766
    Compression
    		 120844
    Encryption
    		 8391
    Extended Instructions
    		 7191
    Floating Point Maths
    		 19018
    Integer Maths
    		 33352
    Physics
    		 1287
    Prime Numbers
    		 71
    Single Threaded
    		 2620
    String Sorting
    		 17878

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2378
    Database Operations
    		 3371
    Memory Latency
    		 69
    Memory Read Cached
    		 26223
    Memory Read Uncached
    		 16625
    Memory Write
    		 16658

    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.large 28 GiB⅛
    g6f.xlarge 416 GiB⅛
    g6f.4xlarge 1664 GiB½

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    g6f.2xlarge FAQs