Lightning AI
AI Assistant

Transforming AI Development with Lightning Speed
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About Lightning AI
Introduction and Overview: Meet Studio: Turn ideas into AI, Lightning fast. Code together. Prototype. Train. Deploy. Host AI web apps. From your browser - with zero setup. User Testimonials: Multi-node in seconds. 'Snap teams spent 1+ year on multi-node training - and it still never worked. With Lightning we were successfully training multi-node in under 3 days.' - Justin, Sr. ML Engineer, Snap. Prototype 6x faster. 'Instead of taking 36 hours to know if this model works, we knew by the end of the day.' - Sam, Researcher, MIT Sustainable Design Lab. My VSCode IDE on the cloud. 'My workflow was drastically simplified. I get all the native VS code plugins in the web browser, with all my dependencies, my code, my compute in one spot. It all just works.' - Frances, CEO, Lexset. Sweeps at scale. 'Lightning AI transformed our model fitting process. We fit 1000 models in only two weeks. At our scale, this would have taken months without Lightning AI.' - Matt, Lead Researcher, The Paninski Lab, Columbia University. Feels local, but on the cloud. 'My computer on the cloud. It's like working on my local machine but using the computing power of Lightning.' - Majd Abdallah, Researcher, Bordeaux Bioinformatics. Change GPUs in seconds. 'The experience of changing from CPU to GPU was mindblowing. It’s extremely quick and I didn’t even need to think about copying or mounting my files.' - Irina, ML Engineer, Lightning User. Debug together. 'When it came time for our experts to collaborate on common experiments we ran into the “it works on my machine” problem. With Lightning, we saved hours per week.' - Robin Cole, Researcher, EarthDaily Analytics. Experiment at lightning speed. 'We validated our hypothesis in just 4 weeks for under $10k. It would've taken us at least 70% longer if we did not have the Lightning platform!' - Malcolm, co-founder, GenreX. No environment setup. 'The environment management is so much better with Lightning AI; like an environment already provisioned for a workspace is a really good model.' - Jacqueline, Sr. ML Engineer, Aeira. Product Background: From the creators of PyTorch Lightning. Powering open source AI since 2019. 110+ million Downloads. 10,000 GPUs Largest model trained. PyTorch Lightning 24.9k. Lightning Fabric 24.9k. Torchmetrics 1.7k. Lit Llama 5.4k. Lit GPT 3.6k. Platform Features: Never set up a local environment again. Lightning AI introduces a paradigm shift to AI development. Studio integrates your favorite ML tools into a single cohesive experience. It also eliminates the environment discrepancy between local code which runs on the cloud. This allows for trivial multi-node, scalable AI web apps, endpoints and more. Environment discrepancies burns weeks of development. Context switching between tools kills productivity. Iterations take hours. Debugging is slow. Laptops don't have a 1,000 GPUs or petabytes of storage. install Python. install PyTorch. NVIDIA drivers. CUDA. run Kubernetes. Terraform. Conda. Docker images. networking. mount volumes. open ports...Meet Studio. Like your laptop. On the cloud. Code. Prototype. Train. Deploy. Swap GPUs. Upload unlimited data. Fully Customize it. Duplicate it 100 times. Run it multi-node. Make it a server. Break it. Start a new one. A canvas for every project. The work project. That LLM startup idea. Simple. Powerful. Zero setup. Persistent. Always ready. Developer Experience: Studio marries the simplicity of a local development experience with the power of 1,000s of cloud GPUs, unlimited storage and multiplayer collaboration. Click to explore. No environment setup. Code in the browser or connect your local IDE. Switch from CPU to GPU with zero environment changes. Host and share AI apps. Streamlit. Gradio. React JS. Code together. Infinite storage. Upload, share files and connect S3 buckets. Breathtaking scale. No abstractions. No decorators. Full control. Finetune 100 models in parallel. Train foundation models on 1,000s of GPUs. Prep data across 100s of machines in parallel. Deploy thousands of models. Write custom Studio workflows with the SDK. No abstractions. No decorators. Async jobs. Zero environment changes. Templates and Guides: Start from production templates. Go beyond demos. Zero-setup templates to deploy, finetune and pretrain models. Templates can run on your cloud with your data in minutes with zero setup. Explore Studios. Become world class at AI. Go beyond simple tutorials. Our expert guides walk through real AI use cases with real data, on real cloud infrastructure. Cover everything from basic AI app development to advanced model training, tuning and profiling. Upskill through practical guides written by AI experts. Explore Quests. Pricing and Subscription: Start free. Pay as you go. Get 1 free active Studio (24/7) and 22 monthly GPU hours. Pay only for what you use by the second. Pay $0 when nothing is running. Upgrade to unlock features like multi-node training, serverless and more. Connect your AWS account to use your cloud credits. Launch a free Studio. Schedule a free demo. Studio Offers: Launch a free Studio. Schedule a free demo. 22 Free GPU hours. Pay-as-you-go. No credit card. Use AWS credits. Powering AI at 10,000+ organizations. You have to try Studio to believe it. 100,000+ users love Studios.
Key Features
- Zero setup
- Cloud-based environment
- Integrated ML tools
- Multi-node training
- Effortless CPU to GPU switching
- Collaborative workflows
- Scalable AI web apps
- Customizable templates
- Persistent environments
- Infinite storage