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gr6.4xlarge by Amazon Web Services

gr6.4xlarge 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 600 GB of storage. The pricing starts at 0.3423 USD per hour.
16 vCPU
128 GiB Memory
600 GB Storage
1 GPU
Spare SCore
23943
(All-cores)
2993
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
gr6.4xlarge
Description
Graphics intensive with a one to eight ratio of vCPU to memory Gen6 4xlarge
Family
gr6
Hw Virt
Status
active
Observed At
2026-07-30T22:58:14.375660

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.513133 USD/h 1.5392 USD/h
Oregon (US) / us-west-2
0.573625 USD/h 1.5392 USD/h
Northern Virgina (US) / us-east-1
1.102875 USD/h 1.5392 USD/h
Aragón (ES) / eu-south-2
0.4267 USD/h 1.6218 USD/h
Stockholm (SE) / eu-north-1
0.39125 USD/h 1.6326 USD/h
Quebec (CA) / ca-central-1
0.44345 USD/h 1.709 USD/h
Mumbai (IN) / ap-south-1
0.41855 USD/h 1.8483 USD/h
Seoul (KR) / ap-northeast-2
0.5132 USD/h 1.8926 USD/h
Frankfurt (DE) / eu-central-1
0.8611 USD/h 1.9248 USD/h
(MY) / ap-southeast-5
0.5207 USD/h 1.9388 USD/h
Paris (FR) / eu-west-3
0.51435 USD/h 1.9538 USD/h
London (GB) / eu-west-2
0.54905 USD/h 1.9539 USD/h
Sydney (AU) / ap-southeast-2
0.54655 USD/h 2.0012 USD/h
Zurich (CH) / eu-central-2
0.5165 USD/h 2.1649 USD/h
Tokyo (JP) / ap-northeast-1
0.55915 USD/h 2.2323 USD/h
Sao Paulo (BR) / sa-east-1
0.3726 USD/h 2.6164 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
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 accelerated virtual machine combining dedicated AMD EPYC processing, high-capacity DDR4 memory, and NVIDIA Ada Lovelace GPU acceleration.

GPU AcceleratedMemory OptimizedStorage & Database

Amazon Web Services gr6.4xlarge is a graphics-intensive, memory-optimized instance built on the AWS Nitro hypervisor. It features an x86_64 AMD EPYC 7R13 processor with 16 vCPUs, 128.0 GB of DDR4 RAM, and a dedicated NVIDIA Ada Lovelace L4 GPU with 22 GB of VRAM. Storage is supported by a local 600 GB NVMe SSD, and network connectivity provides a 10 Gbps baseline. Benchmarks show strong single-core CPU performance and top-tier LLM inference speeds for small and medium models, though large-block memory write speeds are relatively weak. This hardware configuration is well-suited for machine learning inference, graphics rendering, and memory-intensive data processing tasks.

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Workload Profiles

0.77Score
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) 1,384,524 ops/sec 1,896,415 ops/sec 0.73 50.00% 50.00% -14.60%
Redis RPS (pipeline=16, SET) 10,011,030 ops/sec 11,539,523 ops/sec 0.868 20.00% 20.00% -2.79%
PassMark Memory Mark (composite) 2,604 2,411 1.08 10.00% 10.00% +0.77%
Memory bandwidth (read, 16 MB ~ L3) 41,525 MB/sec 107,368 MB/sec 0.387 10.00% 10.00% -9.06%
PassMark single-thread CPU 2,644 Mops/s 2,363 Mops/s 1.12 10.00% 10.00% +1.14%

Memory Bandwidth

Compression

OpenSSL

Geekbench Single-Core

Score: 1,740

Geekbench Multi-Core

Score: 10,180

Passmark CPU Scores

BENCHMARKSCORE
Mark
 23701
Compression
 281949
Encryption
 18980
Extended Instructions
 16487
Floating Point Maths
 40404
Integer Maths
 73669
Physics
 2146
Prime Numbers
 102
Single Threaded
 2644
String Sorting
 38304

Passmark Memory Scores

BENCHMARKSCORE
Memory Mark
 2604
Database Operations
 7190
Memory Latency
 67
Memory Read Cached
 26527
Memory Read Uncached
 17015
Memory Write
 17294

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

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gr6.8xlarge 32256 GiB1

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gr6.4xlarge FAQs