g6.24xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | g6.24xlarge |
Description | Graphics intensive Gen6 24xlarge |
Family | g6 |
Hw Virt | |
Status | active |
Observed At | 2026-10-27T21:16:36.564279 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Oregon (US) / us-west-2 | 3.53725 USD/h | 6.6752 USD/h |
Northern Virgina (US) / us-east-1 | 4.65726 USD/h | 6.6752 USD/h |
Ohio (US) / us-east-2 | 3.193067 USD/h | 6.6752 USD/h |
Aragón (ES) / eu-south-2 | 2.488167 USD/h | 7.0335 USD/h |
Stockholm (SE) / eu-north-1 | 1.2672 USD/h | 7.08 USD/h |
Quebec (CA) / ca-central-1 | 7.4117 USD/h | 7.4117 USD/h |
Hyderabad (IN) / ap-south-2 | 0.8016 USD/h | 8.0155 USD/h |
Mumbai (IN) / ap-south-1 | 6.1818 USD/h | 8.0155 USD/h |
United Arab Emirates / me-central-1 | 3.3555 USD/h | 8.1967 USD/h |
Seoul (KR) / ap-northeast-2 | 3.786633 USD/h | 8.208 USD/h |
Frankfurt (DE) / eu-central-1 | 2.628833 USD/h | 8.3473 USD/h |
(MY) / ap-southeast-5 | 2.28835 USD/h | 8.4087 USD/h |
Paris (FR) / eu-west-3 | 2.5071 USD/h | 8.4734 USD/h |
London (GB) / eu-west-2 | 4.602533 USD/h | 8.4734 USD/h |
Sydney (AU) / ap-southeast-2 | 8.6791 USD/h | 8.6791 USD/h |
Zurich (CH) / eu-central-2 | 2.11575 USD/h | 8.9992 USD/h |
Tokyo (JP) / ap-northeast-1 | 4.42025 USD/h | 9.681 USD/h |
Sao Paulo (BR) / sa-east-1 | 1.6275 USD/h | 11.3465 USD/h |
Processor
vCPUs | 96 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 48 |
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 | 2 MiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 2 MiB |
CPU L2 Cache | 512 KiB |
CPU L2 Cache Total | 24 MiB |
CPU L3 Cache | 32 MiB |
CPU L3 Cache Total | 192 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, monitor, 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, perfctr_core, 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 | 47.9 |
Scalability | 49.9 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 384 GiB |
Memory Amount Actual | 384 GiB |
Memory Generation | DDR4 |
Memory Speed | 3200 Mhz |
| ACCELERATORS | |
|---|---|
Accelerator Count | 4 |
Accelerator Memory Min | 22 GiB |
Accelerator Memory Total | 89 GiB |
Accelerator Type | GPU |
Accelerator Manufacturer | NVIDIA |
Accelerator Family | Ada Lovelace |
Accelerator Model | L4 |
Accelerators |
|
| STORAGE | |
|---|---|
Storage Size | 3760 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 50 Gbps |
Network Speed Max | 50 Gbps |
Network Storage Speed Baseline | 30 Gbps |
Network Storage Speed Max | 30 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
A high-density GPU instance featuring four NVIDIA L4 accelerators and dedicated AMD EPYC processors for demanding machine learning inference.
Amazon Web Services g6.24xlarge is a GPU-accelerated server instance designed for graphics-intensive and machine learning workloads. Powered by 96 vCPUs from dedicated AMD EPYC 7R13 processors running at 3.4 GHz, it features 384.0 GB of DDR4 memory and four NVIDIA L4 Ada Lovelace GPUs with 89 GB of total VRAM. Local storage is provided by a 3760 GB NVMe SSD, and network connectivity features a 50 Gbps baseline bandwidth. Benchmarks show top-tier multi-core CPU performance and exceptional LLM inference speeds for prompt processing and text generation. This hardware configuration is highly optimized for large-scale AI inference, ray tracing, image processing, and database operations.
Economics
Performance
GPU Bandwidth and Latency
| Node (all GPUs) | |
|---|---|
Node baseline directional bandwidth | 44.3 GB/s |
Node GPU-to-host bandwidth | 52.9 GB/s |
Node host-to-GPU bandwidth | 53.9 GB/s |
| Single GPU slot | |
|---|---|
Per-GPU GPU-to-host bandwidth | 13.2 GB/s |
Per-GPU host-to-GPU bandwidth | 13.5 GB/s |
Per-GPU host-device latency | 801 ns |
| Benchmark Environment | |
|---|---|
Driver Version | 535.183.01 |
CUDA Runtime Version | 12.6 |
nvbandwidth Version | v0.5 |
GPU Count | 4 |
P2P Supported | No |
| Efficiency | |
|---|---|
SM/CE copy efficiency | 1.00 |
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 76,614 |
Compression | 1,301,658 |
Encryption | 95,981 |
Extended Instructions | 66,453 |
Floating Point Maths | 216,378 |
Integer Maths | 407,745 |
Physics | 7,417 |
Prime Numbers | 495 |
Single Threaded | 2,646 |
String Sorting | 167,002 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2,865 |
Database Operations | 25,919 |
Memory Latency | 66 |
Memory Read Cached | 26,364 |
Memory Read Uncached | 17,316 |
Memory Write | 17,732 |
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
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| g6.xlarge | 4 | 16 GiB | 1 |
| g6.2xlarge | 8 | 32 GiB | 1 |
| g6.4xlarge | 16 | 64 GiB | 1 |
| g6.8xlarge | 32 | 128 GiB | 1 |
| g6.12xlarge | 48 | 192 GiB | 4 |
| g6.16xlarge | 64 | 256 GiB | 1 |
| g6.48xlarge | 192 | 768 GiB | 8 |
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