Lightning AI

Lightning AI is a browser-based AI cloud platform for developers, ML engineers, researchers, and enterprises to code, train, scale, and serve models in persistent cloud workspaces (Studios) with zero setup.

Key capabilities include:

• Studios: ready-to-code cloud environments you can switch between CPU and GPU in seconds, connect to a local IDE or SSH, and share with multiplayer live collaboration.
• GPU and TPU compute from T4 and L4 to A100, H100, H200, and B200, billed by the second, with discounted interruptible (spot) machines and multi-node training.
• Model APIs and SDK to call hosted models, automate jobs, run distributed data prep, and reserve machines.
• Enterprise options: bring your own AWS or GCP account and credits, deploy in your VPC, SOC 2 Type 2, HIPAA, SAML/SSO, and role-based access controls.

Pricing: Freemium with pay-as-you-go compute. Free includes up to 30 credits (about 80 GPU hours on interruptible machines) and one free Studio; Pro is $20/month billed annually (academic $10/month); Teams is $119/user/month billed annually; Enterprise is custom.

Notable for being built by the creators of PyTorch Lightning, and for letting teams move from prototype to multi-node training without managing infrastructure.