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)

With a 3-year Compute Savings Plan (No Upfront), g6e sizes on Linux in US East (N. Virginia) (us-east-1) cost 48% less than the on-demand rate. Each size's page has the rates in every region. How Savings Plans are applied.

InstancevCPUMemoryGPU CountGPU MemoryMemory TypeArchitectureFrom (Linux, $/hr)
g6e.xlarge432 GB1x48.0 GBStandardx86_64$1.8610
g6e.2xlarge864 GB1x48.0 GBStandardx86_64$2.2421
g6e.4xlarge16128 GB1x48.0 GBStandardx86_64$3.0042
g6e.8xlarge32256 GB1x48.0 GBStandardx86_64$4.5286
g6e.12xlarge48384 GB4x192.0 GBStandardx86_64$10.4926
g6e.16xlarge64512 GB1x48.0 GBStandardx86_64$7.5772
g6e.24xlarge96768 GB4x192.0 GBStandardx86_64$15.0656
g6e.48xlarge1921,536 GB8x384.0 GBStandardx86_64$30.1312