Lightning AI
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JP Hennessy

Lightning - AI code editor for PyTorch development on GPU workspaces

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Lightning AI
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The new AI Code Editor brings AI directly into Lightning Studios and Notebooks. Developers can tap into PyTorch-focused “experts” for training, inference, or RL tasks to build, debug, optimize, and deploy code faster inside a single cloud-native environment.

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JP Hennessy
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Our AI code editor is natively integrated with Lightning’s GPU Marketplace. Developers can provision the exact GPU resources they need directly from the editor, so experiments can be launched immediately without any manual cluster setup. This allows PyTorch developers to move from code to execution seamlessly, whether running on a single GPU for rapid iteration or scaling across multiple nodes for large-scale training. Our goal is to make every developer in the world a PyTorch developer. Whether you’re training a model on one GPU or hundreds, Lightning gives you the same tight, interactive development loop people love, now supercharged by agents and instantly connected to the compute you need.