Individual skill
modal-gpu
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.
tasks-extra/diff-transformer_impl/environment/skills/modal-gpu/SKILL.md
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SKILL.mdcore · 2,628 bytesSKILL.mdcore · 2,628 bytesSKILL.mdcore · 2,628 bytesSKILL.mdcore · 2,628 bytesSKILL.mdcore · 2,628 bytesreferences/common-issues.mddoc · 2,929 bytesreferences/data-download.mddoc · 2,554 bytesreferences/getting-started.mddoc · 2,016 bytesreferences/gpu-selection.mddoc · 1,584 bytesreferences/results.mddoc · 2,777 bytes
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# Modal GPU Training
## Overview
Modal is a serverless platform for running Python code on cloud GPUs. It provides:
- **Serverless GPUs**: On-demand access to T4, A10G, A100 GPUs
- **Container Images**: Define dependencies declaratively with pip
- **Remote Execution**: Run functions on cloud infrastructure
- **Result Handling**: Return Python objects from remote functions
Two patterns:
- **Single Function**: Simple script with `@app.function` decorator
- **Multi-Function**: Complex workflows with multiple remote calls