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:
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