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aws: add GPU instance defconfigs for AI/ML workloads
Add two AWS GPU instance defconfigs to support GPU-accelerated
workloads:
1. aws-gpu-p5-48xlarge: High-end configuration with 8x NVIDIA H100 80GB
GPUs for large-scale AI/ML training and inference. Includes 500GB
storage for models and datasets.
2. aws-gpu-g5-xlarge: Cost-effective single NVIDIA A10G 24GB GPU for
development and smaller workloads. Includes 200GB storage.
Both configurations:
- Use Debian 12 for stability
- Enable kernel development workflows (KOTD)
- Configure 9P filesystem for host-guest development
- Set up in us-east-1 for best GPU availability
- Use GP3 EBS volumes for better performance
These defconfigs leverage the new dynamic Kconfig generation to
automatically include all available P5 and G5 instance sizes.
Generated-by: Claude AI
Signed-off-by: Luis Chamberlain <[email protected]>1 parent 854402c commit 55c9d1c
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