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The all-in-one platform for AI development. Code together. Prototype. Train. Scale. Serve. From your browser - with zero setup. From the creators of PyTorch Lightning.
This allows for trivial multi-node, scalable AI web apps, endpoints and more. Environment discrepancies burns weeks of development. Context switching between tools kills productivity.
PyTorch Lightning is the deep learning framework for professional AI researchers and machine learning engineers who need maximal flexibility without sacrificing performance at scale. Lightning evolves with you as your projects go from idea to paper/production.
Welcome to Lightning AI ⚡. The all-in-one platform for AI development. Code together. Prototype. Train. Scale. Serve. From your browser - with zero setup. From the creators of PyTorch Lightning.
The deep learning framework to pretrain, finetune and deploy AI models. NEW- Lightning 2.0 features a clean and stable API!! Lightning AI • Examples • PyTorch Lightning • Fabric • Docs • Community • Contribute •. Install Lightning. Simple installation from PyPI. pip install lightning. Other installation options. Lightning has 2 core packages.
Use Lightning, the hyper-minimalistic framework, to build machine learning components that can plug into existing ML workflows. A Lightning component organizes arbitrary code to run on the cloud, manage its own infrastructure, cloud costs, networking, and more. Focus on component logic and not engineering.
PyTorch Lightning is the deep learning framework with “batteries included” for professional AI researchers and machine learning engineers who need maximal flexibility while super-charging performance at scale.
This is the Lightning Library - collection of Lightning related notebooks which are pulled back to the main repo as submodule and rendered inside the main documentations. The key features/highlights: we keep the repo light-weighted - notebooks are stored in rich script format.
In PyTorch Lightning you leverage code written by hundreds of AI researchers, research engs and PhDs from the world’s top AI labs, implementing all the latest best practices and SOTA features such as. GPU, Multi GPU, TPU training. Multi-node training. Auto logging … Gradient accumulation
Oct 17, 2023 · PyTorch Lightning is helping drive the rapid adoption of PyTorch by both the research community and the enterprise. “Lightning AI has been a great steward of the AI community, and notably a key contributor to PyTorch over the years,” said PyTorch Foundation Executive Director Ibrahim Haddad.
