LitServe: Easy-to-Use Scalable AI Serving

Built by the team behind PyTorch Lightning, LitServe is designed to take the friction out of model serving. It provides a simple, Pythonic way to wrap your models and deploy them as scalable, high-performance APIs with minimal boilerplate code.

Framework Agnostic

LitServe doesn't care which library you used to train your model. Whether it is PyTorch, JAX, or even a custom model, LitServe provides a consistent interface for defining your inference logic, including preprocessing, model execution, and post-processing steps.

Built-in Scalability and Performance

LitServe handles the heavy lifting of production serving, including request batching, multi-worker support, and GPU optimization. It is built for speed and reliability, ensuring that your AI services can handle real-world traffic patterns without breaking a sweat.