Lightning AI
Lightning AI allows fast AI model training and deployment using PyTorch.
Overview
What is Lightning AI?
Lightning AI is an all-in-one platform for AI development, offering tools to build models and full-stack AI applications quickly. It provides cloud GPUs, DevBoxes, training, deployment, and more with zero setup. From prototype to production AI, Lightning AI supports data platforms, training, GPU clusters, development, and deployment, enabling users to code together, prototype, train, scale, and serve AI models from their browser.
What is Lightning AI used for?

Top Features
- Cloud GPUs
- DevBoxes
- Training
- Deployment
- No-code APIs
- Full-code templates
- Data platform
- GPU Clusters
- Multi-cloud support (AWS, GCP, Azure soon)
- Enterprise RBAC
- CI/CD ready
- Real-time cost monitoring
How to use Lightning AI?
Use Lightning AI by coding on cloud GPUs in the browser or any local IDE. Set up on CPUs, run on GPUs, and use DevBoxes that persist environments across sessions. Start from a template, deploy no-code APIs, or edit full-code Studio templates from the browser with zero setup.
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Pros & Cons
No Data
Use Cases
- Building and deploying AI models
- Training large language models (LLMs)
- Developing AI-powered cloud applications
- Prototyping AI solutions
- Scaling AI models for production
- Collaborating on AI projects
- Running batch jobs and notebooks
- Hosting AI apps
Lightning AI Pricing
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