Alterlab Modal
Skill Verified ActivePart of the AlterLab Academic Skills suite. 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.
To provide a seamless and scalable platform for running Python code in the cloud, abstracting away infrastructure complexities for tasks like ML model deployment, batch processing, and API serving.
Features
- Run Python code in serverless containers
- Access to GPUs (T4, L4, A100, H100, B200)
- Automatic scaling from zero to thousands of containers
- Customizable execution environments with dependency management
- Persistent storage via Modal Volumes
- Secure secret management
- Deployment of web endpoints and APIs
- Scheduled jobs and cron tasks
Use Cases
- Deploying and serving ML models
- Running GPU-accelerated computation
- Batch processing large datasets
- Scheduling compute-intensive jobs
- Building autoscaling serverless APIs
- Scientific computing requiring distributed compute
Non-Goals
- Replacing local development environments
- Providing a general-purpose virtual machine
- Managing complex infrastructure outside of the defined execution environment
Installation
npx skills add AlterLab-IEU/AlterLab-Academic-SkillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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