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 | 2026-09-18T13:37:26.933908 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Oregon (US) / us-west-2 | 0.2558 USD/h | 0.526 USD/h |
Ohio (US) / us-east-2 | 0.271567 USD/h | 0.526 USD/h |
Northern Virgina (US) / us-east-1 | 0.28152 USD/h | 0.526 USD/h |
Stockholm (SE) / eu-north-1 | 0.1064 USD/h | 0.558 USD/h |
Mumbai (IN) / ap-south-1 | 0.206333 USD/h | 0.579 USD/h |
Quebec (CA) / ca-central-1 | 0.25245 USD/h | 0.584 USD/h |
Dublin (IE) / eu-west-1 | 0.3486 USD/h | 0.587 USD/h |
London (GB) / eu-west-2 | 0.200533 USD/h | 0.615 USD/h |
Paris (FR) / eu-west-3 | 0.200167 USD/h | 0.615 USD/h |
Milan (IT) / eu-south-1 | 0.1597 USD/h | 0.616 USD/h |
California (US) / us-west-1 | 0.37305 USD/h | 0.631 USD/h |
Seoul (KR) / ap-northeast-2 | 0.331233 USD/h | 0.647 USD/h |
Frankfurt (DE) / eu-central-1 | 0.302933 USD/h | 0.658 USD/h |
Sydney (AU) / ap-southeast-2 | 0.336667 USD/h | 0.684 USD/h |
Cape Town (ZA) / af-south-1 | 0.32065 USD/h | 0.698 USD/h |
Osaka (JP) / ap-northeast-3 | 0.30895 USD/h | 0.71 USD/h |
Tokyo (JP) / ap-northeast-1 | 0.336633 USD/h | 0.71 USD/h |
Singapore (SG) / ap-southeast-1 | 0.3126 USD/h | 0.736 USD/h |
Hong Kong (HK) / ap-east-1 | 0.164367 USD/h | 0.81 USD/h |
Sao Paulo (BR) / sa-east-1 | 0.090433 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 dedicated NVIDIA T4 graphics and local NVMe storage for efficient machine learning inference.
Amazon Web Services g4dn.xlarge is a GPU-accelerated instance designed for graphics-intensive and machine learning workloads. Powered by the AWS Nitro hypervisor, it features an Intel Xeon 8259CL processor with 4 vCPUs, 16.0 GB of DDR4 memory, and a baseline network bandwidth of 5 Gbps. The hardware configuration includes a dedicated NVIDIA T4 GPU with 16 GB of VRAM and 125 GB of local NVMe SSD storage. While standard CPU and memory benchmarks place this instance in the lower performance tiers, its GPU capabilities deliver top-tier performance for LLM inference prompt processing and strong text generation speeds on small to medium models. This makes the g4dn.xlarge a cost-effective choice for machine learning inference, graphics processing, and CUDA development, though it is less suited for CPU-bound general-purpose computing.
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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