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G7E 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.77th Generation7 = 7th GenerationAWS 7th 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 (6)

InstancevCPUMemoryGPU CountGPU MemoryMemory TypeArchitectureFrom (Linux, $/hr)
g7e.2xlarge864.0 GiB1x96.0 GBStandardx86_64$3.3631
g7e.4xlarge16128.0 GiB1x96.0 GBStandardx86_64$3.9982
g7e.8xlarge32256.0 GiB1x96.0 GBStandardx86_64$5.2682
g7e.12xlarge48512.0 GiB2x192.0 GBStandardx86_64$8.2861
g7e.24xlarge961024.0 GiB4x384.0 GBStandardx86_64$16.5722
g7e.48xlarge1922048.0 GiB8x768.0 GBStandardx86_64$33.1443