g6.8xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | g6.8xlarge |
Description | Graphics intensive Gen6 8xlarge |
Family | g6 |
Hw Virt | |
Status | active |
Observed At | 2026-10-19T17:02:48.396391 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Northern Virgina (US) / us-east-1 | 0.87684 USD/h | 2.0144 USD/h |
Oregon (US) / us-west-2 | 0.874625 USD/h | 2.0144 USD/h |
Ohio (US) / us-east-2 | 0.9927 USD/h | 2.0144 USD/h |
Aragón (ES) / eu-south-2 | 0.4011 USD/h | 2.1225 USD/h |
Stockholm (SE) / eu-north-1 | 0.4052 USD/h | 2.1366 USD/h |
Quebec (CA) / ca-central-1 | 1.8589 USD/h | 2.2367 USD/h |
Hyderabad (IN) / ap-south-2 | 1.164 USD/h | 2.4189 USD/h |
Mumbai (IN) / ap-south-1 | 0.8177 USD/h | 2.4189 USD/h |
United Arab Emirates / me-central-1 | 1.0126 USD/h | 2.4735 USD/h |
Seoul (KR) / ap-northeast-2 | 1.131967 USD/h | 2.4769 USD/h |
Frankfurt (DE) / eu-central-1 | 0.9134 USD/h | 2.519 USD/h |
(MY) / ap-southeast-5 | 0.83415 USD/h | 2.5375 USD/h |
London (GB) / eu-west-2 | 0.9056 USD/h | 2.557 USD/h |
Paris (FR) / eu-west-3 | 0.81795 USD/h | 2.557 USD/h |
Sydney (AU) / ap-southeast-2 | 0.8847 USD/h | 2.6191 USD/h |
Zurich (CH) / eu-central-2 | 0.59475 USD/h | 2.7157 USD/h |
Tokyo (JP) / ap-northeast-1 | 1.45965 USD/h | 2.9215 USD/h |
Sao Paulo (BR) / sa-east-1 | 0.41135 USD/h | 3.4241 USD/h |
Processor
vCPUs | 32 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 16 |
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 | 512 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 512 KiB |
CPU L2 Cache | 512 KiB |
CPU L2 Cache Total | 8 MiB |
CPU L3 Cache | 32 MiB |
CPU L3 Cache Total | 64 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 | 16 |
Scalability | 50 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 128 GiB |
Memory Amount Actual | 128 GiB |
Memory Generation | DDR4 |
Memory Speed | 3200 Mhz |
| ACCELERATORS | |
|---|---|
Accelerator Count | 1 |
Accelerator Memory Min | 22 GiB |
Accelerator Memory Total | 22 GiB |
Accelerator Type | GPU |
Accelerator Manufacturer | NVIDIA |
Accelerator Family | Ada Lovelace |
Accelerator Model | L4 |
Accelerators |
|
| STORAGE | |
|---|---|
Storage Size | 900 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 25 Gbps |
Network Speed Max | 25 Gbps |
Network Storage Speed Baseline | 16 Gbps |
Network Storage Speed Max | 16 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
An accelerated single-GPU instance featuring dedicated AMD EPYC processors and local NVMe storage for efficient machine learning inference and graphics workloads.
Amazon Web Services g6.8xlarge is a graphics-intensive instance featuring an x86_64 AMD EPYC 7R13 processor with 32 dedicated vCPUs, 128.0 GB of DDR4 memory, and a baseline network bandwidth of 25 Gbps. The hardware configuration includes a single NVIDIA Ada Lovelace L4 GPU with 22 GB of VRAM and 900 GB of local NVMe SSD storage. Benchmark results show strong single-core CPU and encryption performance, alongside top-tier results in LLM inference for small and medium models. The instance provides a balanced, single-GPU resource profile, making it a cost-efficient choice for machine learning inference, ray tracing, and graphics-intensive workloads.
Economics
Performance
GPU Bandwidth and Latency
| Node (all GPUs) | |
|---|---|
Node baseline directional bandwidth | 11.0 GB/s |
Node GPU-to-host bandwidth | 13.2 GB/s |
Node host-to-GPU bandwidth | 13.4 GB/s |
| Single GPU slot | |
|---|---|
Per-GPU GPU-to-host bandwidth | 13.2 GB/s |
Per-GPU host-to-GPU bandwidth | 13.4 GB/s |
Per-GPU host-device latency | 781 ns |
| Benchmark Environment | |
|---|---|
Driver Version | 535.183.01 |
CUDA Runtime Version | 12.6 |
nvbandwidth Version | v0.5 |
GPU Count | 1 |
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 | 41,941 |
Compression | 562,501 |
Encryption | 37,937 |
Extended Instructions | 32,765 |
Floating Point Maths | 80,799 |
Integer Maths | 147,218 |
Physics | 4,036 |
Prime Numbers | 198 |
Single Threaded | 2,644 |
String Sorting | 75,597 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2,729 |
Database Operations | 14,154 |
Memory Latency | 67 |
Memory Read Cached | 26,430 |
Memory Read Uncached | 17,169 |
Memory Write | 17,738 |
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 |
| g6.12xlarge | 48 | 192 GiB | 4 |
| g6.16xlarge | 64 | 256 GiB | 1 |
| g6.24xlarge | 96 | 384 GiB | 4 |
| g6.48xlarge | 192 | 768 GiB | 8 |
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