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modal-gpu

by benchflow-ai888173GitHub

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.

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Claude Code
Claude Code
~/.claude/skills/
Codex CLI
Codex CLI
~/.codex/skills/
Gemini CLI
Gemini CLI
~/.gemini/skills/
O
OpenCode
~/.opencode/skills/
O
OpenClaw
~/.openclaw/skills/
GitHub Copilot
GitHub Copilot
~/.copilot/skills/
Cursor
Cursor
~/.cursor/skills/
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Windsurf
~/.codeium/windsurf/skills/
C
Cline
~/.cline/skills/
R
Roo Code
~/.roo/skills/
K
Kiro
~/.kiro/skills/
J
Junie
~/.junie/skills/
A
Augment Code
~/.augment/skills/
W
Warp
~/.warp/skills/
G
Goose
~/.config/goose/skills/
SKILL.md

Modal GPU Training

Installation

pip install modal
modal token set --token-id <id> --token-secret <secret>

Source: https://github.com/benchflow-ai/SkillsBench#tasks_no_script_no_ref-mhc-layer-impl-environment-skills-modal-gpu

Content curated from original sources, copyright belongs to authors

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WORKS WITH

Claude Code
Claude
Codex CLI
Codex
Gemini CLI
Gemini
O
OpenCode
O
OpenClaw
GitHub Copilot
Copilot
Cursor
Cursor
W
Windsurf
C
Cline
R
Roo
K
Kiro
J
Junie
A
Augment
W
Warp
G
Goose