Liquid AI’s Post

We raised a $250M Series A led by AMD Ventures to scale Liquid Foundation Models and accelerate their deployment on-device and at enterprises. At Liquid, our mission is to build the most capable and efficient AI system at every scale. Our CEO, Ramin Hasani, says “we are proud that our new industry-leading partners trust our mission; together, we plan to unlock sovereign AI experiences for businesses and users.” “Liquid AI’s unique approach to developing efficient AI models will push the boundaries of AI, making it far more accessible,” said Mathew Hein, Senior Vice President and Chief Strategy Officer of Corporate Development at AMD. “We are thrilled to collaborate with Liquid AI to train and deploy their AI models on AMD Instinct GPUs and support their growth through this latest funding round.” Full announcement: https://lnkd.in/dt5Qr-Nn To get hands-on with LFMs and deploy them within your enterprise, reach out to our team: https://lnkd.in/dTbTwiyN To join Liquid AI’s mission, check out open positions across research, engineering, go-to-market, and operations: https://lnkd.in/dwpfpwyt #liquidai #amd #seriesa #genai

  • Liquid AI x AMD

Exciting news! Liquid AI has raised a $250M Series A led by AMD Ventures to scale Liquid Foundation Models and enhance AI deployment across industries. Proud to have AMD’s partnership as we push the boundaries of efficient, scalable AI.

Proud to support Ramin and the team at Liquid AI. Excited for what’s ahead!

Vladimir Nedović

Synthesizing Across AI Science, Tech & Business | Strategic + Hands-on

1w

Way to go guys, exciting times!

Djamal Abide

Generative AI|Machine Learning|Data Engineering|Software Engineering|MLOps|Azure|AWS

1w

Great news, LFM models are being optimized to run on all kinds of computing hardware : GPU, NPU, CPU..., and even the Raspberry PI. We'll soon have cellphones running GenAI apps locally and why not sensors running edge GenAI. GenAI will not require network connection in some use cases. Thanks to Liquid AI for democratizing GenAI !

Congrats team! 👏🚀🚀🚀

Huge congratulations on the $250M Series A! 🚀 Scaling efficient AI models for on-device and enterprise deployment is a game-changer. Curious—how do you see on-device AI adoption evolving in the next year?

💥 revolutionizing the world of AI as we know it

Madison Faulkner

Investing in data and AI at NEA | Data Scientist | Ex-Meta

1w

Happy early birthday present Ramin Hasani 😂

Edoardo Mosca

ML Research Scientist @ Liquid (MIT) | PhD

1w

🫡 🚀

This is great! Congratulations 👏there is a need for more efficient and less power hungry foundation models!

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