modal
SolidUse when the user needs to run isolated code remotely — a disposable container, optional GPU access (T4 → H100), or a safer place for untrusted / heavy code. Prefer local execution for normal repo work; use Modal sandboxes for isolation, hardware access, or one-shot heavy compute.
Install
Quality Score: 94/100
Skill Content
Details
- Author
- BlockRunAI
- Repository
- BlockRunAI/blockrun-mcp
- Created
- 5 months ago
- Last Updated
- 2 days ago
- Language
- TypeScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
modal
- User is deploying ML/AI workloads to Modal (modal.com) - Code imports `modal` or references `@app.function`, `@app.cls`, `Stub`, `App` - User needs serverless GPU compute for inference, fine-tuning,
modal
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
modal
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.