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Modal
Serverless GPU compute built for AI/ML workloads and long-running agent loops.
Overview
Modal lets you deploy Python functions and web apps that automatically spin up GPUs or high-memory CPUs on demand. It's optimized for ML training, inference, and agentic workflows that require persistent state or long execution times.
Best for
- Python-heavy AI agents needing GPUs
- Long-running model fine-tuning or batch inference
Trade-offs
vs Render
Modal for GPU provisioning & Python-native AI workflows; Render for broader language support & traditional web hosting.
What XeroHack pre-wires
When you pick Modal in the interview, the engine emits these files into your scaffold:
- FastAPI + vLLM
- LangChain async agents
- PyTorch training jobs
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