Lightning AI

• Cloud-based workspace for AI development from the browser
• One-click access to GPUs/TPUs and scalable compute resources
• Model training, fine-tuning, and inference in a unified environment
• Visual and code-based workflows for building AI apps and agents
• Seamless version control and collaboration for data science teams
• Deployment of models as production-ready APIs or apps
• Support for multiple accelerator types and multi-node distributed training
• Integration with popular ML tools and frameworks (e.g., PyTorch Lightning)
• Secure enterprise features including private cloud, BYOC and access controls
• Pre-built templates and studios to jump-start common AI use-cases

Lightning AI is designed to simplify the full lifecycle of AI development for researchers, engineers and organisations by bringing together experimentation, training, deployment and monitoring into one cohesive platform. Instead of assembling many different tools for dataset preparation, model development, compute management and app deployment, teams can work within a single cloud workspace where code, infrastructure and deployment converge. With Lightning AI you can prototype your model in minutes, scale up to multi-node GPU or TPU training when needed, and rapidly deploy working applications or APIs to production. The platform supports collaboration through shared workspaces, version control, notebook environments, visual dashboards, and real-time compute scaling. It integrates seamlessly with frameworks such as PyTorch Lightning and accommodates large language models, diffusion models, graph neural nets and custom pipelines. Organisations benefit from enterprise-grade features like dedicated private cloud, access controls, audit logging and BYOC (bring-your-own-cloud) deployments so that sensitive data stays within their infrastructure. Lightning AI also includes pre-built studios and templates for common patterns—such as fine-tuning LLMs, building agents, or deploying inference endpoints—helping reduce setup time and infrastructure complexity. For individuals and small teams there is a free tier to explore the platform’s core capabilities, while paid plans unlock large-scale compute, enterprise security and collaboration. Whether you are building research prototypes, internal AI services or commercial AI apps, Lightning AI offers a modern development environment to bring your AI vision to life without wrestling with fragmented tooling or infrastructure burdens.