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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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