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Lightning AI is for machine-learning developers, researchers, and teams who want to build and run AI projects in the cloud without setting up local GPU infrastructure. Its browser-based AI Studio provides a persistent workspace for writing and debugging code, working in VS Code or JupyterLab, and collaborating with others. Files and software environments are saved so you can return to a project later. Use a Studio to prototype models on a CPU, switch to GPU computing for training or inference, and run larger workloads across multiple machines. The platform also supports background jobs, experiment sweeps, and deploying models as APIs. Its PyTorch-focused tools, including PyTorch Lightning and Fabric, help users train and scale models; templates and AI assistance can support common development tasks. Lightning AI may suit people who need a cloud workspace for developing, fine-tuning, training, or serving AI models, from individual projects to team workflows. It is geared toward hands-on development with code rather than being a no-code app builder.
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