SambaNova CEO and Cofounder Rodrigo Liang sat down with Forbes to discuss the fundamental differences between traditional GPUs and data flow chips for AI inference. He also talks about the transition from human-centric AI use to the rise of autonomous agentic workflows and the necessity for low-latency hardware to support these complex, serial agent interactions.

00:03 SambaNova And The AI Chip Market
04:14 Data Flow Architecture Versus GPUs
07:36 Why Real Time Latency Is Critical For Inference Success
11:11 Scaling Through Strategic Partnerships
15:39 Building Infrastructure For The Future Of AI Agents
20:10 The Rise Of Sovereign AI
26:25 Predictions For A World Driven By Autonomous Agents

Read the full story on Forbes:

Subscribe to FORBES: https://www.youtube.com/user/Forbes?sub_confirmation=1

Fuel your success with Forbes. Gain unlimited access to premium journalism, including breaking news, groundbreaking in-depth reported stories, daily digests and more. Plus, members get a front-row seat at members-only events with leading thinkers and doers, access to premium video that can help you get ahead, an ad-light experience, early access to select products including NFT drops and more:

https://account.forbes.com/membership/?utm_source=youtube&utm_medium=display&utm_campaign=growth_non-sub_paid_subscribe_ytdescript

Stay Connected
Forbes newsletters: https://newsletters.editorial.forbes.com
Forbes on Facebook: http://fb.com/forbes
Forbes Video on Twitter: http://www.twitter.com/forbes
Forbes Video on Instagram: http://instagram.com/forbes
More From Forbes: http://forbes.com

Forbes covers the intersection of entrepreneurship, wealth, technology, business and lifestyle with a focus on people and success.