Individual skill
modal
Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
plugins/KalarisLabs/research-agent-skills/skills/modal/SKILL.md
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- Last checked
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- Nov 6, 2026
- License
- Apache-2.0
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- serverless-gpu,-cloud-computing,-model-deployment,-ml-inference Declared skill tag
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Read excerpt
# Modal
## Overview
Modal is a cloud platform for running Python code serverlessly, with a focus on AI/ML workloads. Key capabilities:
- **GPU compute** on demand (T4, L4, A10, L40S, A100, H100, H200, B200)
- **Serverless functions** with autoscaling from zero to thousands of containers
- **Custom container images** built entirely in Python code
- **Persistent storage** via Volumes for model weights and datasets
- **Web endpoints** for serving models and APIs
- **Scheduled jobs** via cron or fixed intervals
- **Sub-second cold starts** for low-latency inference
Everything in Modal is defined as code — no YAML, no Dockerfiles required (though both are supported).