Lightning AI is a comprehensive platform designed for streamlining the AI development lifecycle. It offers a unified environment for coding, prototyping, training, scaling, and serving AI models. Key features include browser-based accessibility, eliminating the need for local setup, and tools for collaborative coding. It caters to AI developers, data scientists, and machine learning engineers looking for an efficient and scalable solution. Use cases range from rapid prototyping of AI models to deploying and managing large-scale AI applications.
Lightning AI
All-in-one platform for AI development: code, prototype, train, scale, and serve AI models directly from your browser with zero setup.
Introduction
Latest News
Lightning AI blog - The latest news and updates from the Lightning ...
8/4/2026Stay up to date with the latest tutorials, releases, case studies, and more from Lightning AI. Discover best practices, technical deep-dives, and success stories from our community of AI practition…
Lightning AI Status
8/4/2026Get text message notifications whenever Lightning AI creates or resolves an incident. Get incident updates and maintenance status messages in Slack.
Announcements - Lightning AI
8/4/2026Lightning AI Studios: Never set up a local environment again →
About Lightning AI
8/4/2026The all-in-one platform for AI development. Code together. Prototype. Train. Scale. Serve. From your browser - with zero setup. From the creators of PyTorch Lightning.
Lightning 2.1: Train Bigger, Better, Faster - Lightning AI
8/4/2026Lightning 2.1: Train Bigger, Better, Faster Lightning AI is excited to announce the release of Lightning 2.1 ⚡. The theme this time around is “bigger, better, faster”. Bigger because training large multi-billion parameter models has gotten even more efficient thanks to FSDP, efficient initialization...
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FAQ
User Reviews
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Pricing
Pricing Model: Freemium, Subscription, Usage-based
Free
For students, researchers, and hobbyists. Includes 15 monthly Lightning credits, 1 free active Studio (4-hour restart), single GPU Studio, unlimited background execution, 32-core CPU Studio, ability to connect to local IDE, 100GB persistent storage, and community support via Discord. Provides 80 hours of free GPU usage per month.
Free
nullPro
For developers, researchers, and scientists. Includes all features of the Free plan, plus 40 monthly Lightning credits, 1 free active Studio running 24/7, multi-GPU Studio, save approximately 80% with preemptible instances, 64 and 96-core CPU Studio, multi-node training (up to 4 machines), 2TB persistent storage, ability to connect to public/private S3 buckets, distributed data preprocessing (up to 4 machines), ability to reserve machines for jobs, and community support. Price is $20/month when billed annually.
$50/month
monthly, yearlyTeams
For research labs and small teams. Includes all features of the Pro plan, plus 50 monthly Lightning credits, support for A100, H100, H200 GPUs, preemptible instances, use Lightning GPU quota or bring your own quota, multi-node training (up to 32 machines), available via AWS Marketplace, unlimited persistent storage, real-time cost control, SAML/SSO, 99.90% uptime SLA. Price is $119/user/month when billed annually.
$140/user/month
monthly, yearlyEnterprise
For enterprise-grade AI. Includes all features of the Teams plan, plus full-node B200s, priority GPU access (Lightning Cloud), unlimited concurrent GPUs, use your cloud credits (AWS, GCP), bring your own AWS account and credits, bulk seat and credit discounts, unlimited multi-node, any instance type, role-based access control, SOC2 (Type 2) compliance, deploy to your own VPC, run within your company firewall, data governance controls, custom resource tags, bring your own encryption keys, bring your own images, audit logs, 99.95% uptime SLA (+dedicated support).
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