Shawn Rosemarin & Jason Hardy | Pure Accelerate 2026
In this interview from Pure Accelerate 2026, Shawn Rosemarin, vice president of research and development and customer engineering at Everpure, joins Jason Hardy, vice president of storage technology at NVIDIA, to talk with theCUBE's Christophe Bertrand and Alison Kosik about the critical gap between raw enterprise data and AI-ready data, and what it means for the journey from AI pilot to production. Rosemarin frames the challenge using the AI factory analogy: just as a physical factory requires refined raw materials, AI models need curated, context-rich data — not simply digitized records. He details Everpure's AI Data Stream announcement, which compresses the process of finding, classifying, vectorizing and indexing enterprise data from months to minutes, enabling faster and more reliable inference. The conversation also explores the broader infrastructure requirements for scaling AI beyond the proof-of-concept stage. Hardy explains why GPU investments alone don't deliver ROI without a co-engineered data ecosystem — one where storage, networking and NVIDIA's software libraries work in concert to keep GPUs continuously active. Both guests close with practical guidance for CTOs and CIOs stuck in pilot paralysis: stay focused on a defined business outcome, prepare only the data needed to support it and treat AI adoption as a people-and-process transformation, not just a technology purchase. From building cultural comfort with AI tools across the enterprise to sizing infrastructure around the desired output rather than the hardware itself, Rosemarin and Hardy lay out a concrete path from experimentation to production-grade AI. 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 - Intro 00:06 - Navigating the AI Frontier: Partnerships, Roles, and Challenges in the Data Ecosystem 04:53 - Preparing and Streamlining Data for AI Integration 07:43 - Accelerating AI Development 09:51 - Optimizing AI Growth: Infrastructure, Integration, and Investment 14:24 - Advancing AI: From Pilot to Production #theCUBE #PureAccelerate #theCUBEresearch #Everpure #NVIDIA #AI

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