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Lightning AI

Browser AI dev to deployment

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What Lightning AI is

Lightning AI is an AI development platform from the PyTorch Lightning team. It provides a browser development environment covering prototyping, model training, scaling and deployment, aimed at machine learning engineers, researchers and AI product teams.

What you can do with it

  • Develop AI projects in the browser
  • Train and scale models
  • Deploy an AI service
  • Avoid local environment configuration

Who it is for

  • ML engineers and researchers
  • AI startup teams
  • Students and developers wanting cloud GPUs

What to watch out for

  • GPU quotas, collaboration features, deployment methods and cost need checking before committing
  • Cloud training cost accumulates quickly with large experiments
  • Data and model artefacts live on the platform unless you self-manage
  • Local dependencies still need managing inside projects

Pros & cons

✓ What we like

  • No local GPU setup needed
  • Covers prototype through deployment
  • From the PyTorch Lightning authors

! What to watch out for

  • GPU cost to watch
  • Data residency to decide
  • Cloud dependency

FAQ

What is it suited to?

Model training, AI prototyping and full-stack AI application development.

Do I need a local environment?

It emphasises browser development, though project dependencies still need managing.

What should I check first?

GPU quotas, collaboration limits, deployment options and pricing.

Last reviewed: 2026-09-17

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