g6.12xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | g6.12xlarge |
Description | Graphics intensive Gen6 12xlarge |
Family | g6 |
Hw Virt | |
Average Time To Start | 702.5 |
Status | active |
Observed At | 2026-10-19T17:02:48.407875 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Northern Virgina (US) / us-east-1 | 3.27162 USD/h | 4.6016 USD/h |
Ohio (US) / us-east-2 | 2.491 USD/h | 4.6016 USD/h |
Oregon (US) / us-west-2 | 3.53255 USD/h | 4.6016 USD/h |
Aragón (ES) / eu-south-2 | 1.556467 USD/h | 4.8486 USD/h |
Stockholm (SE) / eu-north-1 | 1.4034 USD/h | 4.8806 USD/h |
Quebec (CA) / ca-central-1 | 5.1093 USD/h | 5.1093 USD/h |
Hyderabad (IN) / ap-south-2 | 2.6024 USD/h | 5.5256 USD/h |
Mumbai (IN) / ap-south-1 | 2.5192 USD/h | 5.5256 USD/h |
United Arab Emirates / me-central-1 | 2.3132 USD/h | 5.6505 USD/h |
Seoul (KR) / ap-northeast-2 | 2.8612 USD/h | 5.6582 USD/h |
Frankfurt (DE) / eu-central-1 | 3.003 USD/h | 5.7543 USD/h |
(MY) / ap-southeast-5 | 1.96515 USD/h | 5.7966 USD/h |
Paris (FR) / eu-west-3 | 1.8884 USD/h | 5.8412 USD/h |
London (GB) / eu-west-2 | 2.7702 USD/h | 5.8412 USD/h |
Sydney (AU) / ap-southeast-2 | 3.285867 USD/h | 5.983 USD/h |
Zurich (CH) / eu-central-2 | 1.85495 USD/h | 6.2037 USD/h |
Tokyo (JP) / ap-northeast-1 | 3.08375 USD/h | 6.6737 USD/h |
Sao Paulo (BR) / sa-east-1 | 1.0942 USD/h | 7.8218 USD/h |
Processor
vCPUs | 48 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 24 |
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 | 768 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 768 KiB |
CPU L2 Cache | 512 KiB |
CPU L2 Cache Total | 12 MiB |
CPU L3 Cache | 32 MiB |
CPU L3 Cache Total | 96 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 | 24 |
Scalability | 50 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 192 GiB |
Memory Amount Actual | 192 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 | 40 Gbps |
Network Speed Max | 40 Gbps |
Network Storage Speed Baseline | 20 Gbps |
Network Storage Speed Max | 20 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 local NVMe storage for advanced machine learning inference and graphics rendering.
Amazon Web Services g6.12xlarge is a GPU-accelerated server instance powered by an AMD EPYC 7R13 processor with 48 dedicated vCPUs and 192.0 GB of DDR4 memory. It features four NVIDIA L4 GPUs based on the Ada Lovelace architecture, delivering a total of 89 GB of VRAM, alongside 3760 GB of local NVMe SSD storage and 40 Gbps baseline network bandwidth. Benchmarks show strong CPU and graphics performance, with top-tier results in large language model inference for prompt processing and text generation. The server provides high resource density, making it a cost-efficient choice for parallelized workloads without the expense of top-tier enterprise accelerators. It is highly suited for machine learning inference, ray tracing, image processing, and media transcoding workloads.
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 | 811 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 | 55,482 |
Compression | 828,117 |
Encryption | 56,908 |
Extended Instructions | 43,721 |
Floating Point Maths | 121,171 |
Integer Maths | 220,865 |
Physics | 5,338 |
Prime Numbers | 285 |
Single Threaded | 2,643 |
String Sorting | 112,261 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2,566 |
Database Operations | 20,385 |
Memory Latency | 77 |
Memory Read Cached | 26,407 |
Memory Read Uncached | 16,908 |
Memory Write | 17,390 |
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 |
| g6.16xlarge | 64 | 256 GiB | 1 |
| g6.24xlarge | 96 | 384 GiB | 4 |
| g6.48xlarge | 192 | 768 GiB | 8 |
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