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G6E 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.eExtra Capacity / Expansione = Extra Capacity / ExpansionExpanded configuration offering a higher memory-to-vCPU ratio or increased local NVMe storage density per core.

Common use cases

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

Instance types (8)

InstancevCPUMemoryGPU CountGPU MemoryMemory TypeArchitectureFrom (Linux, $/hr)
g6e.xlarge432.0 GiB1x48.0 GBStandardx86_64$1.8610
g6e.2xlarge864.0 GiB1x48.0 GBStandardx86_64$2.2421
g6e.4xlarge16128.0 GiB1x48.0 GBStandardx86_64$3.0042
g6e.8xlarge32256.0 GiB1x48.0 GBStandardx86_64$4.5286
g6e.12xlarge48384.0 GiB4x192.0 GBStandardx86_64$10.4926
g6e.16xlarge64512.0 GiB1x48.0 GBStandardx86_64$7.5772
g6e.24xlarge96768.0 GiB4x192.0 GBStandardx86_64$15.0656
g6e.48xlarge1921536.0 GiB8x384.0 GBStandardx86_64$30.1312