A full-stack Python model serving library
LitServe is an advanced serving engine for AI models, optimized for performance, supporting multiple frameworks, and offering features like batching and GPU autoscaling. Users can self-host or use managed deployment.
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LitServe is an advanced serving engine tailored for AI models, built on FastAPI, and optimized for enterprise applications. It boasts a performance that is at least twice as fast as standard FastAPI, thanks to AI-specific enhancements such as multi-worker handling. The engine supports multiple AI frameworks, including PyTorch, JAX, and TensorFlow, allowing users to deploy their own models. Key features include batching, streaming, and GPU autoscaling, which optimize resource management and enhance response times. Users have the option to self-host LitServe on their own infrastructure or utilize Lightning Studios for a fully managed deployment. The quick start guide provides straightforward instructions for installation via pip, setting up a server with multiple models, and testing the server using curl commands. Additionally, LitServe encourages community engagement through Discord for support and discussions, and it is open for contributions, with further information available in its documentation and GitHub repository.
- LitServe is optimized for AI models, offering performance improvements over standard FastAPI.
- It supports various AI frameworks, allowing for flexible model deployment.
- Key features include batching, streaming, and GPU autoscaling for efficient resource management.
- Users can choose between self-hosting or managed deployment options.
- Community support is available through Discord, and contributions are welcomed.
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