Run Python code on cloud GPUs using Modal serverless platform. Use when you need A100/T4/A10G GPU access for training ML models. Covers Modal app setup, GPU selection, data downloading inside functions, and result handling.
How to install modal-gpu?
benchflow-ai/skillsbench/modal-gpu
$npx -y skills add benchflow-ai/skillsbench --skill modal-gpuInstalls into the current project.
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Run `npx skills use "https://github.com/benchflow-ai/skillsbench" --skill "benchflow-ai/skillsbench/modal-gpu"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/benchflow-ai/skillsbench" that are relevant to the current task. Run `npx skills add "https://github.com/benchflow-ai/skillsbench"` and select the relevant skills, then follow their instructions.
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