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LitServe: Build custom AI inference engines (github.com/lightning-ai)
1 point by wfalcon 5 months ago | past
Build your own AI model inference engines (github.com/lightning-ai)
1 point by wfalcon 5 months ago | past
Transform and optimize datasets for fast AI model training (github.com/lightning-ai)
1 point by shcheklein on Nov 3, 2024 | past
Transform and Optimize Datasets at Scale (github.com/lightning-ai)
1 point by shcheklein on Sept 23, 2024 | past
A full-stack Python model serving library (github.com/lightning-ai)
8 points by theaniketmaurya on Aug 28, 2024 | past
LitServe: Lightning-fast serving engine for AI models. (github.com/lightning-ai)
1 point by bhimrazy on Aug 27, 2024 | past | 1 comment
LitServe: Easily serve AI models fast (github.com/lightning-ai)
11 points by andymcsherry on Aug 22, 2024 | past | 1 comment
Thunder – A new compiler for PyTorch that can use many device executors at once (github.com/lightning-ai)
11 points by wfalcon on March 23, 2024 | past | 1 comment
Lightning-AI/lightning-thunder: Source to source compiler for PyTorch (github.com/lightning-ai)
4 points by Anon84 on March 22, 2024 | past
Thunder, Source to source compiler for PyTorch (github.com/lightning-ai)
4 points by homarp on March 21, 2024 | past
Lightning Data: Blazingly fast, distributed streaming of data from cloud storage (github.com/lightning-ai)
10 points by tchaton84 on Feb 23, 2024 | past | 1 comment
Show HN: A fully open-source (Apache 2.0)implementation of llama (github.com/lightning-ai)
158 points by osurits on March 28, 2023 | past | 52 comments
PyTorch Lightning – DL framework to train, deploy, and ship AI fast (github.com/lightning-ai)
1 point by punnerud on Jan 29, 2023 | past

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