🚀 Exciting news! Arda Göreci and team at Ligo Biosciences have fully reproduced AlphaFold3, making the state-of-the-art in AI-driven protein folding accessible to all! 🌟 Arda Göreci: “PyTorch Lightning and its ecosystem has been essential for developing this project in a short period of time.” ⚡️ We couldn’t be happier 🥳 Check it out: https://lnkd.in/ey6aZfUu
Lightning AI
Software Development
New York, NY 85,982 followers
The AI development platform - From idea to AI, Lightning fast⚡️. Creators of AI Studio, PyTorch Lightning and more.
About us
The AI development platform - From idea to AI, Lightning fast ⚡️. Code together. Prototype. Train on GPUs. Scale. Serve. From your browser - with zero setup. AI Studio is your laptop on the cloud. Zero setup. Always ready. Persistent storage and environments. Code on CPU. Debug on GPU. Scale to multi-node. Run sweeps, jobs and more. Scale models with PyTorch Lightning, Fabric, Lit-GPT, torchmetrics and more.
- Website
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http://lightning.ai
External link for Lightning AI
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2019
- Specialties
- Artificial Intelligence, Machine Learning, Infrastructure, deep learning, data science, and open source
Locations
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Primary
New York, NY, US
Employees at Lightning AI
Updates
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LitServe is an easy-to-use, flexible serving engine for AI models built on FastAPI. Features like batching, streaming, and GPU autoscaling eliminate the need to rebuild a FastAPI server per model. 🤯 LitServe is at least 2x faster than plain FastAPI due to AI-specific multi-worker handling. Supercharge your serving https://lnkd.in/ecU32_cr
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Join the biggest online community for open source AI by joining the Lightning AI Discord. 📣 Exclusive live-events 💁♂️ Support from experts 🤝 Networking building Join the conversation on Discord: https://lnkd.in/d6N2QD53
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Today’s Thunder Sessions goes live at 11am ET! Today’s topic: More transforms and less theory 🔄 > 📚 Join Luca Antiga and Thomas Viehmann on the livestream: https://lnkd.in/e9APy2aG
The Thunder Sessions | Session 6 | More Transforms and Less Theory
https://www.youtube.com/
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Catch the next Thunder Sessions livestream this Friday, Aug 30 at 11am EST and see how Thunder, our source to source compiler, makes AI models 40% faster. Luca Antiga & Thomas Viehmann go deeper with more transforms and less theory. ⚡ 🏃♂️ Catch up on the previous sessions https://lnkd.in/e9U9Gh9h 👀 Before you watch it live https://lnkd.in/eES-NJtD
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ControlNet lets you control image generation (Stable Diffusion) with a prompt. This tutorial shows how to deploy a private ControlNet API that you can use to: - Create marketing campaigns - Create influencer content - Create fashion inspiration https://lnkd.in/d3gwPsR6
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Tool use allows AI agents to fetch real-time data, search the web and more 👇🏼 Imagine an AI agent that not only understands language but can also fetch real-time data, search the web, and inspect images to give more accurate responses. Use LitServe to easily deploy such an AI agent, enabling it to perform tasks like: - 🌐 Web search - ☀️ Weather retrieval - 🖼️ Image inspection This Studio shows how to build a private, self-hosted API that integrates tools with a language model for enhanced functionality. How it works: - Define the AI agent API. - Bind external tools like weather APIs and web search. - Use LitServe for scalable, high-performance inference. https://lnkd.in/dGAjQxgu
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For AI model serving, you have two main options today: TorchServe or a DIY FastAPI server. But people are now choosing LitServe - here's why 👇🏼 - TorchServe is a Java engine, so it's hard to work with Python models (like most models today). - Ollama, VLLM are overfit to LLMs, so they are not in this category (LitGPT is our comparison to these). - FastAPI is easy to start, but hard to scale to AI workloads. So, most people choose FastAPI because the others are inflexible and hard to use (what if you need two models or want to bring your own?). LitServe changes that! Built on FastAPI, it offers full flexibility to run multiple models, integrate your own, and more. https://lnkd.in/diYUG7NW
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Bring your own models into LitServe 🤯🤯 https://lnkd.in/diYUG7NW
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The weekend is here! explore LitServe (AI model serving) with these examples: 🎶 Generate music from text (AudioCraft) 🎆 Upscale small images without losing details (Aura SR) 🧐 Annotate images (Phi 3.5) 🧑🏼🎨 Generate images from text (Flux - the new Stable Diffusion) Link to more examples: https://lnkd.in/ddrvfRPN
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