G6 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.66th Generation6 = 6th GenerationAWS 6th generation hardware platform with updated CPU/system architecture.

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 (8)

InstancevCPUMemoryGPU CountGPU MemoryMemory TypeArchitectureFrom (Linux, $/hr)
g6.xlarge416 GB1x24.0 GBStandardx86_64$0.8048
g6.2xlarge832 GB1x24.0 GBStandardx86_64$0.9776
g6.4xlarge1664 GB1x24.0 GBStandardx86_64$1.3232
g6.8xlarge32128 GB1x24.0 GBStandardx86_64$2.0144
g6.12xlarge48192 GB4x96.0 GBStandardx86_64$4.6016
g6.16xlarge64256 GB1x24.0 GBStandardx86_64$3.3968
g6.24xlarge96384 GB4x96.0 GBStandardx86_64$6.6752
g6.48xlarge192768 GB8x192.0 GBStandardx86_64$13.3504