AI’s Next Race: Cost, Control, and Compute

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The AI race is shifting from who has the biggest model to who can run, control and deploy AI most effectively. Perplexity CEO Aravind Srinivas joins to discuss the company’s new orchestrator model, why he’s building on open-source Chinese AI, and his argument that “token value per watt” may decide the next phase of competition. Then, Benchmark general partner Peter Fenton and Ollama CEO Jeff Morgan discuss the rise of open models, why enterprises are increasingly running models they can download and control, and what Ollama’s growth says about where the AI ecosystem is heading. Together, the conversations get at one big question: in AI’s next race, will the winners be defined less by model access and more by cost, control and compute? » Subscribe to CNBC: https://cnb.cx/SubscribeCNBC » Subscribe to CNBC TV: https://cnb.cx/SubscribeCNBCtelevision » Subscribe to CNBC Classic: https://cnb.cx/SubscribeCNBCclassic About CNBC: From 'Wall Street' to 'Main Street' to award winning original documentaries and Reality TV series, CNBC has you covered. Experience special sneak peeks of your favorite shows, exclusive video and more. Connect with CNBC News Online Get the latest news: https://www.cnbc.com/ Follow CNBC on LinkedIn: https://cnb.cx/LinkedInCNBC Follow CNBC News on Facebook: https://cnb.cx/LikeCNBC Follow CNBC News on Twitter: https://cnb.cx/FollowCNBC Follow CNBC News on Instagram: https://cnb.cx/InstagramCNBC Subscribe to CNBC PRO: https://cnb.cx/2NLi9AN #CNBC AI’s Next Race: Cost, Control, and Compute