g4dn.4xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | g4dn.4xlarge |
Description | Graphics intensive [Instance store volumes] [Network and EBS optimized] Gen4 4xlarge |
Family | g4dn |
Hw Virt | |
Status | active |
Observed At | 2026-09-09T10:17:32.800456 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Oregon (US) / us-west-2 | 0.4621 USD/h | 1.204 USD/h |
Northern Virgina (US) / us-east-1 | 0.54964 USD/h | 1.204 USD/h |
Ohio (US) / us-east-2 | 0.632967 USD/h | 1.204 USD/h |
Stockholm (SE) / eu-north-1 | 0.288433 USD/h | 1.277 USD/h |
Mumbai (IN) / ap-south-1 | 0.377433 USD/h | 1.325 USD/h |
Quebec (CA) / ca-central-1 | 0.55165 USD/h | 1.337 USD/h |
Dublin (IE) / eu-west-1 | 0.618633 USD/h | 1.342 USD/h |
Paris (FR) / eu-west-3 | 0.464433 USD/h | 1.408 USD/h |
London (GB) / eu-west-2 | 0.412767 USD/h | 1.409 USD/h |
Milan (IT) / eu-south-1 | 0.2239 USD/h | 1.41 USD/h |
California (US) / us-west-1 | 0.8781 USD/h | 1.445 USD/h |
Seoul (KR) / ap-northeast-2 | 0.733667 USD/h | 1.481 USD/h |
Frankfurt (DE) / eu-central-1 | 0.600867 USD/h | 1.505 USD/h |
Sydney (AU) / ap-southeast-2 | 0.570033 USD/h | 1.566 USD/h |
Cape Town (ZA) / af-south-1 | 0.5163 USD/h | 1.597 USD/h |
Osaka (JP) / ap-northeast-3 | 0.48715 USD/h | 1.625 USD/h |
Tokyo (JP) / ap-northeast-1 | 0.7679 USD/h | 1.625 USD/h |
Singapore (SG) / ap-southeast-1 | 0.535467 USD/h | 1.685 USD/h |
Hong Kong (HK) / ap-east-1 | 0.357967 USD/h | 1.854 USD/h |
Sao Paulo (BR) / sa-east-1 | 0.227433 USD/h | 2.046 USD/h |
Processor
vCPUs | 16 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 8 |
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 | 256 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 256 KiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 8 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, rep_good, nopl, xtopology, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, 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 | 10.5 |
Scalability | 131.25 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 64 GiB |
Memory Amount Actual | 64 GiB |
Memory Generation | DDR4 |
Memory Speed | 3200 Mhz |
| GPU | |
|---|---|
GPU Count | 1 |
GPU Memory Min | 16 GiB |
GPU Memory Total | 16 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Turing |
GPU Model | T4 |
GPUs |
|
| STORAGE | |
|---|---|
Storage Size | 225 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 20 Gbps |
Network Speed Max | 25 Gbps |
Network Storage Speed Baseline | 4.75 Gbps |
Network Storage Speed Max | 4.75 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
A GPU-accelerated platform featuring an NVIDIA T4 GPU and NVMe storage, optimized for machine learning inference and graphics-intensive workloads.
Amazon Web Services g4dn.4xlarge is a GPU-accelerated instance designed for graphics-intensive and machine learning workloads. Running on the Nitro hypervisor, it features an Intel Xeon 8259CL x86_64 processor with 16 vCPUs, 8 physical cores, and 64.0 GB of DDR4 memory. The hardware includes a dedicated NVIDIA Turing T4 GPU with 16 GB of VRAM, a 225 GB NVMe SSD, and 20 Gbps baseline network bandwidth. Benchmark data shows a tradeoff: single-core CPU performance is in the bottom 25%, whereas GPU-driven LLM inference for small and medium models reaches the top 10% for prompt processing. This resource configuration makes the instance highly suitable for machine learning inference, graphics rendering, and workloads that leverage GPU acceleration rather than single-threaded CPU processing.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 14415 |
Compression | 199877 |
Encryption | 6242 |
Extended Instructions | 12243 |
Floating Point Maths | 24332 |
Integer Maths | 45381 |
Physics | 1580 |
Prime Numbers | 82 |
Single Threaded | 1816 |
String Sorting | 23520 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2469 |
Database Operations | 5430 |
Memory Latency | 54 |
Memory Read Cached | 21932 |
Memory Read Uncached | 10349 |
Memory Write | 9931 |
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.8xlarge | 32 | 128 GiB | 1 |
| g4dn.12xlarge | 48 | 192 GiB | 4 |
| g4dn.16xlarge | 64 | 256 GiB | 1 |
| g4dn.metal | 96 | 384 GiB | 8 |
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