Why AI Models Are Choking — And How to Fix It episode artwork

EPISODE · Apr 18, 2025 · 45 MIN

Why AI Models Are Choking — And How to Fix It

from Project Flux · host Project Flux

Send us Fan MailIn this episode of the Project Flux podcast, we speak with JB Baker, the VP of Marketing and Product Management at ScaleFlux, about the critical role of storage in AI infrastructure. They discuss the importance of efficient data pipelines, the challenges posed by the memory wall, and the revolutionary concept of computational storage. JB emphasises the need for businesses to consider the full impact of AI deployment on their infrastructure, including storage and memory technologies. The conversation also touches on sustainability in AI, the future of quantum computing, and the potential of decentralised AI systems.TakeawaysEfficient data pipelines are crucial for maximizing GPU performance.The memory wall is a significant barrier to AI scalability.Computational storage can enhance data management efficiency.Businesses often overlook the importance of storage when investing in AI.AI workloads generate more data than traditional workloads.Query engineering is essential for effective AI model usage.Sustainability is a growing concern in AI infrastructure.The future of AI will involve specialized processors for specific tasks.Quantum computing presents both opportunities and challenges for AI.Decentralized AI systems may change the landscape of data processing.Chapters00:00 Introduction to Storage Challenges in AI04:14 The Data Pipeline: Bridging Storage and Processing07:20 Understanding Computational Storage10:14 Challenges in Implementing Advanced Storage Solutions13:18 Common Mistakes in AI Infrastructure Upgrades16:17 The Energy Demands of AI and Storage19:05 Navigating AI Querying and User Experience22:09 Balancing Innovation and Sustainability in AI Infrastructure26:55 The Future of Energy Consumption28:43 Innovations in Data Center Cooling30:26 Quantum Computing and Its Implications33:43 Exploring Alternative Computing Methods35:12 The Evolution of AI Infrastructure40:22 Decentralized AI and Edge Computing42:31 Emerging Technologies in Memory and Storage49:12 Introduction to Project Flux and Partnership49:42 Future of Project Management Insights49:57 Introduction and Sponsorship Highlights50:20 Engagement and Community Building50:33 Unleash the Code Intro.wavJB's Linked InSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

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Send us Fan Mail In this episode of the Project Flux podcast, we speak with JB Baker, the VP of Marketing and Product Management at ScaleFlux, about the critical role of storage in AI infrastructure. They discuss the importance of efficient data pipelines, the challenges posed by the memory wall, and the revolutionary concept of computational storage. JB emphasises the need for businesses to consider the full impact of AI deployment on their infrastructure, including storage and memory techno...

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Why AI Models Are Choking — And How to Fix It

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