g4dn.16xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | g4dn.16xlarge |
Description | Graphics intensive [Instance store volumes] [Network and EBS optimized] Gen4 16xlarge |
Family | g4dn |
Hw Virt | |
Status | active |
Observed At | 2026-06-29T11:32:29.066640 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 1.013033 USD/h | 4.352 USD/h |
Northern Virgina (US) / us-east-1 | 1.13638 USD/h | 4.352 USD/h |
Oregon (US) / us-west-2 | 1.444267 USD/h | 4.352 USD/h |
Stockholm (SE) / eu-north-1 | 0.4617 USD/h | 4.617 USD/h |
Mumbai (IN) / ap-south-1 | 1.0889 USD/h | 4.791 USD/h |
Quebec (CA) / ca-central-1 | 0.6379 USD/h | 4.832 USD/h |
Dublin (IE) / eu-west-1 | 1.212 USD/h | 4.853 USD/h |
Paris (FR) / eu-west-3 | 0.901133 USD/h | 5.088 USD/h |
London (GB) / eu-west-2 | 0.901433 USD/h | 5.092 USD/h |
Milan (IT) / eu-south-1 | 0.5095 USD/h | 5.095 USD/h |
California (US) / us-west-1 | 1.39295 USD/h | 5.222 USD/h |
Seoul (KR) / ap-northeast-2 | 1.3734 USD/h | 5.353 USD/h |
Frankfurt (DE) / eu-central-1 | 1.742667 USD/h | 5.44 USD/h |
Sydney (AU) / ap-southeast-2 | 1.158067 USD/h | 5.659 USD/h |
Cape Town (ZA) / af-south-1 | 0.73575 USD/h | 5.774 USD/h |
Osaka (JP) / ap-northeast-3 | 1.3032 USD/h | 5.875 USD/h |
Tokyo (JP) / ap-northeast-1 | 1.083667 USD/h | 5.875 USD/h |
Singapore (SG) / ap-southeast-1 | 1.5144 USD/h | 6.089 USD/h |
Hong Kong (HK) / ap-east-1 | 0.6702 USD/h | 6.702 USD/h |
Sao Paulo (BR) / sa-east-1 | 0.7397 USD/h | 7.397 USD/h |
Processor
vCPUs | 64 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 32 |
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 | 1 MiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 1 MiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 32 MiB |
CPU L3 Cache | 36 MiB |
CPU L3 Cache Total | 72 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 | 42.1 |
Scalability | 131.56 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 256 GiB |
Memory Amount Actual | 256 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 | 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 GPU-accelerated instance featuring dedicated Intel Xeon processors, local NVMe storage, and high-speed networking for machine learning inference workloads.
Amazon Web Services g4dn.16xlarge is a GPU-accelerated server instance designed for graphics-intensive and machine learning workloads. Powered by an Intel Xeon 8259CL processor, it features 64 dedicated vCPUs, 256.0 GB of DDR4 memory, and a single NVIDIA Turing T4 GPU with 16 GB of VRAM. Storage is supported by a 900 GB NVMe SSD, and networking delivers a 50 Gbps baseline. While single-core CPU benchmarks are weak, multi-core performance is average, and large-block memory bandwidth is strong. The instance demonstrates top-tier performance in LLM inference prompt processing for small and medium models. This hardware profile is suited for machine learning inference, graphics rendering, and workloads requiring high network throughput and local NVMe storage.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 42565 |
Compression | 796201 |
Encryption | 24900 |
Extended Instructions | 49819 |
Floating Point Maths | 97176 |
Integer Maths | 181488 |
Physics | 4575 |
Prime Numbers | 256 |
Single Threaded | 1810 |
String Sorting | 91893 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2632 |
Database Operations | 21207 |
Memory Latency | 54 |
Memory Read Cached | 22418 |
Memory Read Uncached | 10575 |
Memory Write | 10208 |
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.12xlarge | 48 | 192 GiB | 4 |
| g4dn.metal | 96 | 384 GiB | 8 |
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