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In this interview from the AI Data Pipeline Forum 2026 at OCP Global Summit, Ben Lee, director of solution management at Supermicro, joins theCUBE's John Furrier to discuss the shift from GPU-centric cluster design toward a holistic, data-first approach to building AI factories. Lee explains how rising memory and SSD prices are pushing operators to rethink data pipelines alongside compute, and why Supermicro's partnership with VAST Data helps customers architect GPU clusters and storage together from day one. He frames the modern AI factory as a single, massive computer built from interconnected subsystems. The conversation also explores how Supermicro's "Tiger Team" model coordinates operations, sales and engineering to validate every component, from the rack to the full cluster, before deployment. Lee points to the rapid standup of xAI's Colossus-1, a liquid-cooled cluster spanning 100,000 GPU servers brought online in just 120 days, as proof that time to operations has become the defining metric for AI infrastructure investment. He also touches on Supermicro's ecosystem approach, pairing deep engineering collaboration with silicon partners like Intel, AMD and Nvidia with colocation space for proof-of-concept testing before full-scale rollout. From memory supply constraints to plug-and-play deployment at hyperscale, Lee outlines how Supermicro is helping operators turn massive capital investments into functioning AI factories as fast as possible. 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 - Standards and Design for Integrated AI Infrastructure 05:42 - Validating and Accelerating Large AI Cluster Operations 09:00 - Delivering and Scaling AI Factory Systems #theCUBE #AIDataPipelineForum #theCUBEresearch #NYSEWired #Supermicro #AIInfrastructure #OCPGlobalSummit

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