G4DN Accelerated Computing

⚡ GPU Accelerated

Hardware accelerators (GPUs, FPGAs) for specialized compute.

Name:gGPU Graphics & ML Inferenceg = GPU Graphics & ML InferencePowered by GPUs (NVIDIA/AMD) for graphics-intensive applications, video encoding, remote workstations, and machine learning inference.44th Generation4 = 4th GenerationAWS 4th generation hardware platform with updated CPU/system architecture.dDirect-Attached NVMe SSDd = Direct-Attached NVMe SSDEquipped with physical high-speed NVMe SSD instance store volumes attached locally to the host server for temporary scratch and caching.nEnhanced Networkingn = Enhanced NetworkingEnhanced networking capabilities delivering up to 100/200/400 Gbps network bandwidth and Elastic Fabric Adapter (EFA) support.

Common use cases

  • Machine learning training/inference
  • High-performance computing
  • Graphics rendering

Head-to-Head Architecture Comparisons

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Accelerated & AIg4dn vs g5 vs g6 vs inf2

AWS AI Inference Acceleration: G4dn vs G5 vs G6 vs Inf2

NVIDIA T4 vs A10G vs L4 vs AWS Inferentia2 for LLM and ML model serving

Compare specifications →

Instance types (6)

InstancevCPUMemoryGPU CountGPU MemoryMemory TypeArchitectureFrom (Linux, $/hr)
g4dn.xlarge416 GB1x16.0 GBStandardx86_64$0.5260
g4dn.2xlarge832 GB1x16.0 GBStandardx86_64$0.7520
g4dn.4xlarge1664 GB1x16.0 GBStandardx86_64$1.2040
g4dn.8xlarge32128 GB1x16.0 GBStandardx86_64$2.1760
g4dn.12xlarge48192 GB4x64.0 GBStandardx86_64$3.9120
g4dn.16xlarge64256 GB1x16.0 GBStandardx86_64$4.3520