Lightning AI reposted this
Focus on AI products - not infrastructure 😉
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.
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Lightning AI reposted this
Focus on AI products - not infrastructure 😉
🚀 LitServe now supports creating OpenAl-compatible embedding APIs in 5 lines of code! ✅ Standardized APls: Easily integrate your embedding APIs with the AI ecosystem. 🤝 Interoperability: Connect with tools/apps already leveraging OpenAl’s APls. ⚙️ Flexibility: Deploy custom embedding models and maintain compatibility. 🌐 Broader Use Cases: Perfect for semantic search, recommendations, & NLP tasks. Huge shoutout to Bhimraj Yadav for this contribution to LitServe and the open source community! Try it yourself: https://bit.ly/3VbbGCk
Lightning AI reposted this
Deploy a private Llama 3.2 RAG API in just 30 lines of code! Here's what you'll need - LlamaIndex for orchestration - Qdrant for self-hosting a vector DB - Lightning AI's LitServe⚡️ for deployment I have published this work as a Studio, It reads like a blog encapsulating all my code & environment! Link to the studio: https://lnkd.in/gXp3ey_e ___ Find me → https://lnkd.in/em_V4unu ✔️ Everyday, I share insights and tutorials around AI and Machine learning!
Join us at 11am ET when Luca Antiga and Thomas Viehmann chat about inference vs training when it comes to deep learning compilers—first up, training (HF inference without cudagraphs is still WIP)! Watch live ➡️ https://bit.ly/410XJLb
Last week, our team gathered in NYC for an incredible onsite filled with collaboration, team activities, and our Lightning Thanksgiving dinner. 🗽 Moments like these remind us why we’re grateful—not just for the work we do, but for the amazing people we do it with. Wishing everyone a Happy Thanksgiving! 🦃 And if you’re looking for your next challenge and want to shape the future of AI with a passionate, talented team—we’re hiring! 👉 https://bit.ly/4eSvFNa
Lightning AI reposted this
Check out another captivating session from YOLO Vision 2024 (YV24)! 🚀 In his talk, Luca Antiga, CTO of Lightning AI, dives deep into AI's transformative potential with Lightning AI. From developing applications to training models with PyTorch Lightning, this session offers invaluable takeaways for developers and AI enthusiasts. Key Highlights: ✅ What is Lightning AI: The platform's vision and capabilities. ✅ Building Applications: How to use Ultralytics YOLO with Lightning AI Watch now ➡️ https://lnkd.in/dAktXHGU
Lightning AI reposted this
Thank you to everyone who attended Lightning AI's Leaders in AI/ML dinner in NYC last week 🎉 The Michelin-star dinner was attended by industry leaders including: Cisco, Ginkgo Bioworks, Inc., Infosys, Northwestern Mutual, Ricoh USA, Inc., Upstart, Verizon and many others 🍽 The evening was capped off with a sneak preview of Lightning AI's latest releases 🎥 Our last dinner of 2024 will take place at AWS re:Invent in Las Vegas 🎲
We're thrilled to see our CPO, Priya Shivakumar, featured in Capacity Media - a techoraco brand's latest article, "Women Leading the Charge in Open Source AI." Her leadership and vision are driving innovation and inclusivity in the AI community. Read more about her journey ➡️ https://bit.ly/4fYtCIi
Lightning AI reposted this
Proof that a small, focused team with the right tools can achieve incredible things! Using the Lightning stack, Jina AI scaled their distributed infra and trained multiple embedding models - all with just 2 engineers and 1 intern. 2 tools you need to know about: Lightning Fabric Simplifies PyTorch by handling complex hardware logic, scaling strategies, and precision settings, letting you focus on building and training models with expert-level control and fewer errors. You retain control, but reduce surface are for errors and gain easy scaling. https://lnkd.in/d3JQfEpw Lightning AI Studio: Lightning Studio simplifies AI development by bringing the power of cloud GPUs to your local IDE with team-ready collaboration in one cohesive platform. Use it to prototype, train, and deploy AI models up to 80% faster, without ever worrying about infrastructure. https://lightning.ai/
Excited to see Solo Tech using LitServe to power on-device AI solutions! Their work highlights the flexibility of our open-source tools and demonstrates how AI can excel in privacy-focused, offline environments. Great to see these tools in action! Learn more about Solo: https://bit.ly/3CETpHu Use LitServe for your own projects: https://bit.ly/3Zi4kzK