g4dn.8xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | g4dn.8xlarge |
Description | Graphics intensive [Instance store volumes] [Network and EBS optimized] Gen4 8xlarge |
Family | g4dn |
Hw Virt | |
Status | active |
Observed At | 2026-08-03T01:13:24.755359 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ohio (US) / us-east-2 | 0.5588 USD/h | 2.176 USD/h |
Oregon (US) / us-west-2 | 0.737867 USD/h | 2.176 USD/h |
Northern Virgina (US) / us-east-1 | 0.81506 USD/h | 2.176 USD/h |
Stockholm (SE) / eu-north-1 | 0.3806 USD/h | 2.308 USD/h |
Mumbai (IN) / ap-south-1 | 0.748233 USD/h | 2.395 USD/h |
Quebec (CA) / ca-central-1 | 0.51085 USD/h | 2.416 USD/h |
Dublin (IE) / eu-west-1 | 1.093567 USD/h | 2.426 USD/h |
Paris (FR) / eu-west-3 | 0.548667 USD/h | 2.544 USD/h |
London (GB) / eu-west-2 | 0.678867 USD/h | 2.546 USD/h |
Milan (IT) / eu-south-1 | 0.3082 USD/h | 2.547 USD/h |
California (US) / us-west-1 | 1.16755 USD/h | 2.611 USD/h |
Seoul (KR) / ap-northeast-2 | 0.581567 USD/h | 2.677 USD/h |
Frankfurt (DE) / eu-central-1 | 1.139 USD/h | 2.72 USD/h |
Sydney (AU) / ap-southeast-2 | 0.933633 USD/h | 2.83 USD/h |
Cape Town (ZA) / af-south-1 | 0.53005 USD/h | 2.887 USD/h |
Osaka (JP) / ap-northeast-3 | 0.77095 USD/h | 2.938 USD/h |
Tokyo (JP) / ap-northeast-1 | 1.1589 USD/h | 2.938 USD/h |
Singapore (SG) / ap-southeast-1 | 0.9239 USD/h | 3.045 USD/h |
Hong Kong (HK) / ap-east-1 | 0.444467 USD/h | 3.351 USD/h |
Sao Paulo (BR) / sa-east-1 | 0.4851 USD/h | 3.698 USD/h |
Processor
vCPUs | 32 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 16 |
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 | 512 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 512 KiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 16 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 | 21.1 |
Scalability | 131.88 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 128 GiB |
Memory Amount Actual | 128 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 | 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, an NVIDIA T4 GPU, and high-speed local NVMe SSD storage for inference workloads.
Amazon Web Services g4dn.8xlarge is a GPU-accelerated instance designed for graphics-intensive and machine learning workloads. Powered by an Intel Xeon 8259CL processor, it features 32 vCPUs, 128.0 GB of DDR4 memory, and a single NVIDIA T4 GPU with 16 GB of VRAM. The instance includes a 900 GB NVMe SSD local storage volume and delivers a baseline network bandwidth of 50 Gbps. Benchmark data shows weak single-core CPU performance but average multi-core and memory bandwidth capabilities. Notably, the instance achieves top-tier performance in LLM inference for small and medium models, particularly in prompt processing and text generation. This resource profile makes the g4dn.8xlarge highly suitable for machine learning inference, graphics rendering, and network-optimized applications requiring local SSD storage.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 25379 |
Compression | 395777 |
Encryption | 12445 |
Extended Instructions | 24908 |
Floating Point Maths | 48638 |
Integer Maths | 90764 |
Physics | 2297 |
Prime Numbers | 126 |
Single Threaded | 1816 |
String Sorting | 46256 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2531 |
Database Operations | 10400 |
Memory Latency | 54 |
Memory Read Cached | 22170 |
Memory Read Uncached | 10239 |
Memory Write | 9799 |
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.12xlarge | 48 | 192 GiB | 4 |
| g4dn.16xlarge | 64 | 256 GiB | 1 |
| g4dn.metal | 96 | 384 GiB | 8 |
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