g4dn.12xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | g4dn.12xlarge |
Description | Graphics intensive [Instance store volumes] [Network and EBS optimized] Gen4 12xlarge |
Family | g4dn |
Hw Virt | |
Status | active |
Observed At | 2026-10-06T14:38:19.262902 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Northern Virgina (US) / us-east-1 | 1.52518 USD/h | 3.912 USD/h |
Oregon (US) / us-west-2 | 1.560767 USD/h | 3.912 USD/h |
Ohio (US) / us-east-2 | 1.914733 USD/h | 3.912 USD/h |
Stockholm (SE) / eu-north-1 | 1.300467 USD/h | 4.15 USD/h |
Mumbai (IN) / ap-south-1 | 1.928633 USD/h | 4.306 USD/h |
Quebec (CA) / ca-central-1 | 1.70705 USD/h | 4.343 USD/h |
Dublin (IE) / eu-west-1 | 2.014067 USD/h | 4.362 USD/h |
Paris (FR) / eu-west-3 | 1.440367 USD/h | 4.574 USD/h |
London (GB) / eu-west-2 | 1.7439 USD/h | 4.577 USD/h |
Milan (IT) / eu-south-1 | 2.4686 USD/h | 4.58 USD/h |
California (US) / us-west-1 | 2.35315 USD/h | 4.694 USD/h |
Seoul (KR) / ap-northeast-2 | 2.737 USD/h | 4.812 USD/h |
Frankfurt (DE) / eu-central-1 | 2.0096 USD/h | 4.89 USD/h |
Sydney (AU) / ap-southeast-2 | 2.461367 USD/h | 5.087 USD/h |
Cape Town (ZA) / af-south-1 | 1.26075 USD/h | 5.19 USD/h |
Osaka (JP) / ap-northeast-3 | 1.45345 USD/h | 5.281 USD/h |
Tokyo (JP) / ap-northeast-1 | 2.6945 USD/h | 5.281 USD/h |
Singapore (SG) / ap-southeast-1 | 1.9094 USD/h | 5.474 USD/h |
Hong Kong (HK) / ap-east-1 | 3.033667 USD/h | 6.024 USD/h |
Sao Paulo (BR) / sa-east-1 | 1.744933 USD/h | 6.649 USD/h |
Processor
vCPUs | 48 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 24 |
CPU Speed | 2.5 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | 8259CL |
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 | 1 MiB |
CPU L2 Cache Total | 24 MiB |
CPU L3 Cache | 36 MiB |
CPU L3 Cache Total | 36 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, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, arch_perfmon, rep_good, nopl, xtopology, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, mpx, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, ida, arat, pku, ospke, avx512_vnni |
Ecpus | 29.4 |
Scalability | 61.25 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 192 GiB |
Memory Amount Actual | 192 GiB |
Memory Generation | DDR4 |
Memory Speed | 3200 Mhz |
| GPU | |
|---|---|
GPU Count | 4 |
GPU Memory Min | 16 GiB |
GPU Memory Total | 64 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Turing |
GPU Model | T4 |
GPUs |
|
| STORAGE | |
|---|---|
Storage Size | 900 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 50 Gbps |
Network Speed Max | 50 Gbps |
Network Storage Speed Baseline | 9.5 Gbps |
Network Storage Speed Max | 9.5 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
A multi-GPU accelerated platform featuring four NVIDIA T4 GPUs and local NVMe storage optimized for parallel machine learning inference and graphics rendering.
Amazon Web Services g4dn.12xlarge is a GPU-accelerated instance designed for graphics-intensive and machine learning workloads. Powered by the AWS Nitro hypervisor, it features 48 vCPUs from an Intel Xeon 8259CL processor, 192.0 GB of DDR4 memory, and four NVIDIA Turing T4 GPUs providing 64 GB of total VRAM. Storage is supported by a 900 GB local NVMe SSD, and network throughput reaches a baseline of 50 Gbps. Benchmark results show a tradeoff: single-core CPU performance is weak, falling into the bottom 25%, whereas multi-core CPU and memory bandwidth perform at an average level. Notably, LLM inference prompt processing ranks in the top 10% across various model sizes. This instance is highly efficient for workloads such as multi-GPU machine learning inference, graphics rendering, video transcoding, and distributed database operations.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 34629 |
Compression | 598622 |
Encryption | 18582 |
Extended Instructions | 37023 |
Floating Point Maths | 73015 |
Integer Maths | 136423 |
Physics | 2506 |
Prime Numbers | 166 |
Single Threaded | 1946 |
String Sorting | 69046 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2650 |
Database Operations | 15531 |
Memory Latency | 53 |
Memory Read Cached | 23650 |
Memory Read Uncached | 10576 |
Memory Write | 10112 |
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 | GPUs |
|---|---|---|---|
| g4dn.xlarge | 4 | 16 GiB | 1 |
| g4dn.2xlarge | 8 | 32 GiB | 1 |
| g4dn.4xlarge | 16 | 64 GiB | 1 |
| g4dn.8xlarge | 32 | 128 GiB | 1 |
| g4dn.16xlarge | 64 | 256 GiB | 1 |
| g4dn.metal | 96 | 384 GiB | 8 |
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