g6.4xlarge by Amazon Web Services

g6.4xlarge is a Graphics intensive Gen6 4xlarge server offered by Amazon Web Services with 16 vCPUs, 64 GiB of memory and 600 GB of storage. The pricing starts at 0.1887 USD per hour.
16 vCPU
64 GiB Memory
600 GB Storage
1 GPU
Spare SCore
23,942
(All-cores)
2,993
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
g6.4xlarge
Description
Graphics intensive Gen6 4xlarge
Family
g6
Hw Virt
Status
active
Observed At
2026-09-18T06:42:31.616443

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.677033 USD/h 1.3232 USD/h
Oregon (US) / us-west-2
0.8271 USD/h 1.3232 USD/h
Northern Virgina (US) / us-east-1
1.1719 USD/h 1.3232 USD/h
Aragón (ES) / eu-south-2
0.295167 USD/h 1.3942 USD/h
Stockholm (SE) / eu-north-1
0.19345 USD/h 1.4034 USD/h
Quebec (CA) / ca-central-1
1.4692 USD/h 1.4692 USD/h
Hyderabad (IN) / ap-south-2
0.92295 USD/h 1.5889 USD/h
Mumbai (IN) / ap-south-1
0.4849 USD/h 1.5889 USD/h
United Arab Emirates / me-central-1
0.6652 USD/h 1.6248 USD/h
Seoul (KR) / ap-northeast-2
0.752867 USD/h 1.627 USD/h
Frankfurt (DE) / eu-central-1
0.6428 USD/h 1.6547 USD/h
(MY) / ap-southeast-5
0.52535 USD/h 1.6668 USD/h
Paris (FR) / eu-west-3
0.3907 USD/h 1.6797 USD/h
London (GB) / eu-west-2
0.8666 USD/h 1.6797 USD/h
Sydney (AU) / ap-southeast-2
0.771767 USD/h 1.7204 USD/h
Zurich (CH) / eu-central-2
0.32835 USD/h 1.7839 USD/h
Tokyo (JP) / ap-northeast-1
0.92205 USD/h 1.919 USD/h
Sao Paulo (BR) / sa-east-1
0.2935 USD/h 2.2492 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
64 GiB
Memory Amount Actual
64 GiB
Memory Generation
DDR4
Memory Speed
3200 Mhz
GPU
GPU Count
1
GPU Memory Min
22 GiB
GPU Memory Total
22 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ada Lovelace
GPU Model
L4
GPUs
  • NVIDIA Ada Lovelace NVIDIA L4 (Memory amount: 23034, Firmware version: 590.48.01, BIOS version: 95.04.65.00.37, Clock rate: 2040)
STORAGE
Storage Size
600 GB
Storage Type
nvme ssd
Storages
  • 600 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

CPU and System Topology

Server Description

An NVIDIA L4 GPU-accelerated instance with AMD EPYC processors and local NVMe storage for efficient machine learning inference and graphics workloads.

GPU AcceleratedGeneral PurposeStorage & Database

Amazon Web Services g6.4xlarge is a graphics-intensive instance featuring an AMD EPYC 7R13 processor with 16 vCPUs, 64.0 GB of DDR4 memory, and a dedicated NVIDIA Ada Lovelace L4 GPU with 22 GB of VRAM. Built on the AWS Nitro hypervisor, it includes 600 GB of local NVMe SSD storage and 10 Gbps baseline network bandwidth. Performance benchmarks show strong single-core CPU capabilities and top-tier execution in LLM inference tasks for small and medium models, though large-block memory write speeds represent a relative bottleneck. This instance is optimized for workloads such as machine learning inference, graphics rendering, and video transcoding, offering a balanced hardware profile for GPU-accelerated tasks.

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Workload Profiles

0.762Score
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) 1,398,465 ops/sec 1,919,696 ops/sec 0.728 50.00% 50.00% -14.70%
Redis RPS (pipeline=16, SET) 9,966,691 ops/sec 11,736,081 ops/sec 0.849 20.00% 20.00% -3.22%
PassMark Memory Mark (composite) 2,567 2,418 1.06 10.00% 10.00% +0.58%
Memory bandwidth (read, 16 MB ~ L3) 40,993 MB/sec 108,260 MB/sec 0.379 10.00% 10.00% -9.25%
PassMark single-thread CPU 2,641 Mops/s 2,365 Mops/s 1.12 10.00% 10.00% +1.14%

Memory Bandwidth

Compression

OpenSSL

Geekbench Single-Core

Score: 1,741

Geekbench Multi-Core

Score: 10,077

Passmark CPU Scores

BENCHMARKSCORE
Mark
23623
Compression
281371
Encryption
18989
Extended Instructions
16501
Floating Point Maths
40348
Integer Maths
73648
Physics
2085
Prime Numbers
103
Single Threaded
2641
String Sorting
37580

Passmark Memory Scores

BENCHMARKSCORE
Memory Mark
2567
Database Operations
7177
Memory Latency
68
Memory Read Cached
26527
Memory Read Uncached
17144
Memory Write
17503

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
g6.xlarge 416 GiB1
g6.2xlarge 832 GiB1
g6.8xlarge 32128 GiB1
g6.12xlarge 48192 GiB4
g6.16xlarge 64256 GiB1
g6.24xlarge 96384 GiB4
g6.48xlarge 192768 GiB8

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g6.4xlarge FAQs