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 | 2026-08-03T01:13:24.743132 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 1.392967 USD/h | 3.912 USD/h |
Oregon (US) / us-west-2 | 1.4621 USD/h | 3.912 USD/h |
Northern Virgina (US) / us-east-1 | 1.60896 USD/h | 3.912 USD/h |
Stockholm (SE) / eu-north-1 | 1.7113 USD/h | 4.15 USD/h |
Mumbai (IN) / ap-south-1 | 1.732567 USD/h | 4.306 USD/h |
Quebec (CA) / ca-central-1 | 1.529 USD/h | 4.343 USD/h |
Dublin (IE) / eu-west-1 | 2.043067 USD/h | 4.362 USD/h |
Paris (FR) / eu-west-3 | 1.425533 USD/h | 4.574 USD/h |
London (GB) / eu-west-2 | 1.639633 USD/h | 4.577 USD/h |
Milan (IT) / eu-south-1 | 2.4631 USD/h | 4.58 USD/h |
California (US) / us-west-1 | 2.45375 USD/h | 4.694 USD/h |
Seoul (KR) / ap-northeast-2 | 2.557967 USD/h | 4.812 USD/h |
Frankfurt (DE) / eu-central-1 | 1.9188 USD/h | 4.89 USD/h |
Sydney (AU) / ap-southeast-2 | 2.326567 USD/h | 5.087 USD/h |
Cape Town (ZA) / af-south-1 | 2.1961 USD/h | 5.19 USD/h |
Osaka (JP) / ap-northeast-3 | 1.5227 USD/h | 5.281 USD/h |
Tokyo (JP) / ap-northeast-1 | 2.6989 USD/h | 5.281 USD/h |
Singapore (SG) / ap-southeast-1 | 2.0821 USD/h | 5.474 USD/h |
Hong Kong (HK) / ap-east-1 | 3.14 USD/h | 6.024 USD/h |
Sao Paulo (BR) / sa-east-1 | 1.721967 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 | 122.5 |
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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