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In this interview from The CEO Summit 2026, hosted by CASPA, Faris Sbahi, co-founder and chief executive officer of Normal Computing Corp., joins theCUBE's John Furrier and Dave Vellante to discuss the memory bottlenecks reshaping AI infrastructure economics. Sbahi explains how the industry has consolidated around a small set of metrics, namely tokens per second per watt, as buyers shift from evaluating individual components to full rack-scale inference systems. He details how high-bandwidth memory's wafer-intensive production has made it the true constraint on AI scaling, and how Normal Computing's compute-in-memory approach is designed to deliver dramatic efficiency gains for inference workloads. The conversation also explores Normal Computing's deep co-design partnerships with tier-1 memory companies, including Samsung Catalyst, as the line between memory and compute continues to blur through 3D stacking and custom HBM architectures. Sbahi outlines the company's phased product roadmap, from Kelvin, its first rack-scale system arriving in 2028, to Stirling, a next-generation platform built on custom memory technologies, each targeting roughly two orders of magnitude improvement in tokens-per-watt performance. He also addresses the industry's communication gap around AI, arguing that technologists have overemphasized existential risk at the expense of explaining AI's tangible value: abundant, inexpensive intelligence as a new industrial resource. From memory co-design to rebuilding public trust, Sbahi lays out why Normal Computing sees itself at the center of AI's next infrastructure wave. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - AI Semiconductor Innovation and Capacity Constraints 03:45 - Overcoming Memory Bottlenecks With In-Memory Computing 06:20 - Co-Designing Complete Inference Systems 09:40 - Physical AI and Edge Efficiency Challenges 11:59 - AI Product Roadmaps, Value, and Public Trust 15:58 - Cheap Intelligence as an Industrial Resource 18:37 - Scaling AI Through Chips and Customer Partnerships #theCUBE #CASPA #theCUBEresearch #NormalComputing #Semiconductors #AIInfrastructure #MemoryTech

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