Lightning AI: Cloud GPU Platform for AI Development

Lightning AI is a comprehensive cloud platform designed to streamline the entire AI development lifecycle, from initial prototyping to full-scale production deployment. Rather than juggling separate tools for infrastructure, training, and hosting, developers get one unified workspace with instant access to cloud GPUs, persistent DevBoxes, and a data platform, all accessible directly from a browser or any local IDE. This removes the traditional friction of environment setup, letting teams focus on building models instead of managing infrastructure. The platform is built for flexibility at every stage: start coding on CPUs, spin up GPU clusters for heavy training jobs, and scale seamlessly across multi-cloud environments including AWS and GCP (with Azure on the way). Teams can collaborate in real time, deploy models as no-code APIs or full-code Studio templates, and monitor costs as they go. With enterprise-grade features like role-based access control, CI/CD readiness, and dedicated support tiers, Lightning AI scales from solo researchers experimenting with prototypes to large organizations running production-grade AI applications at massive scale.

Begin by coding directly in your browser using Lightning AI's cloud GPUs, or connect your favorite local IDE for a familiar workflow. Choose a starting template or spin up a DevBox, which persists your environment and dependencies across sessions so you never have to reconfigure from scratch. Develop and test on CPUs first, then switch to GPU-powered Studios for training and heavier workloads. Once your model is ready, deploy it either as a no-code API for quick integration or through full-code Studio templates for more granular control, all without additional setup steps.