g4dn.xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | g4dn.xlarge |
Description | Graphics intensive [Instance store volumes] [Network and EBS optimized] Gen4 xlarge |
Family | g4dn |
Hw Virt | |
Status | active |
Observed At | 2026-08-07T22:33:34.421284 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.2098 USD/h | 0.526 USD/h |
Oregon (US) / us-west-2 | 0.224867 USD/h | 0.526 USD/h |
Northern Virgina (US) / us-east-1 | 0.3395 USD/h | 0.526 USD/h |
Stockholm (SE) / eu-north-1 | 0.1854 USD/h | 0.558 USD/h |
Mumbai (IN) / ap-south-1 | 0.177433 USD/h | 0.579 USD/h |
Quebec (CA) / ca-central-1 | 0.24135 USD/h | 0.584 USD/h |
Dublin (IE) / eu-west-1 | 0.337833 USD/h | 0.587 USD/h |
London (GB) / eu-west-2 | 0.217767 USD/h | 0.615 USD/h |
Paris (FR) / eu-west-3 | 0.214167 USD/h | 0.615 USD/h |
Milan (IT) / eu-south-1 | 0.1412 USD/h | 0.616 USD/h |
California (US) / us-west-1 | 0.3082 USD/h | 0.631 USD/h |
Seoul (KR) / ap-northeast-2 | 0.306333 USD/h | 0.647 USD/h |
Frankfurt (DE) / eu-central-1 | 0.313467 USD/h | 0.658 USD/h |
Sydney (AU) / ap-southeast-2 | 0.3224 USD/h | 0.684 USD/h |
Cape Town (ZA) / af-south-1 | 0.30015 USD/h | 0.698 USD/h |
Osaka (JP) / ap-northeast-3 | 0.3107 USD/h | 0.71 USD/h |
Tokyo (JP) / ap-northeast-1 | 0.313467 USD/h | 0.71 USD/h |
Singapore (SG) / ap-southeast-1 | 0.338633 USD/h | 0.736 USD/h |
Hong Kong (HK) / ap-east-1 | 0.162133 USD/h | 0.81 USD/h |
Sao Paulo (BR) / sa-east-1 | 0.157133 USD/h | 0.894 USD/h |
Processor
vCPUs | 4 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 2 |
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 | 64 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 64 KiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 2 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 | 2.6 |
Scalability | 130 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 16 GiB |
Memory Amount Actual | 16 GiB |
Memory Generation | DDR4 |
Memory Speed | 2933 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 | 125 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 5 Gbps |
Network Speed Max | 25 Gbps |
Network Storage Speed Baseline | 0.95 Gbps |
Network Storage Speed Max | 3.5 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
A budget-friendly GPU instance featuring local NVMe storage and dedicated hardware acceleration for entry-level machine learning inference workloads.
Amazon Web Services g4dn.xlarge is a GPU-accelerated instance configured with 4 vCPUs from an Intel Xeon 8259CL processor, 16.0 GB of DDR4 memory, and a 125 GB local NVMe SSD. It features a single NVIDIA T4 GPU with 16 GB of VRAM. While standard CPU, memory, and database benchmarks place this instance in the bottom 25% of performance, its GPU capabilities deliver top-tier results for small and medium LLM inference tasks. Specifically, prompt processing for 135M and 7B models ranks in the top 10%. This instance represents a cost-efficient entry point for GPU-accelerated workloads, balancing local NVMe storage and dedicated graphics hardware. It is best suited for machine learning inference, graphics-intensive applications, and lightweight GPU development rather than general-purpose compute tasks.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 3956 |
Compression | 50320 |
Encryption | 1551 |
Extended Instructions | 2903 |
Floating Point Maths | 6040 |
Integer Maths | 11271 |
Physics | 507 |
Prime Numbers | 24 |
Single Threaded | 1806 |
String Sorting | 6019 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 1794 |
Database Operations | 1357 |
Memory Latency | 55 |
Memory Read Cached | 21945 |
Memory Read Uncached | 10235 |
Memory Write | 9655 |
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.2xlarge | 8 | 32 GiB | 1 |
| g4dn.4xlarge | 16 | 64 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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