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Published on October 7, 2025
Summary
Drawing parallels between marathon running and AI infrastructure implementation, this article explores how the endurance, preparation, and strategic pacing required in marathons mirror the challenges of deploying robust AI data infrastructure. I examine how DDN's approach to AI storage reflects the same principles that help marathon runners cross finish lines successfully.
My Perspective
Having observed countless organizations sprint at the start of their AI journey only to hit walls later, I've learned that AI infrastructure is a marathon, not a sprint. Just as marathon runners must pace themselves, manage their energy, and prepare meticulously, successful AI implementations require sustained commitment, proper planning, and the right infrastructure foundation. DDN's technology embodies this marathon mindset - built for the long haul, not just quick wins.
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Published on September 25, 2025
Summary
Exploring the parallels between Formula 1 racing performance and AI RAG (Retrieval-Augmented Generation) pipeline speed, this article examines how DDN Infinia's infrastructure delivers the split-second performance required for modern AI applications. Just as Red Bull Racing relies on precision engineering and flawless execution, AI systems need infrastructure that can deliver data at racing speeds.
My Perspective
Watching F1 racing taught me that winning isn't just about raw power - it's about precision, timing, and having the right infrastructure to support peak performance when it matters most. RAG pipelines face the same challenge: they need storage that can retrieve and deliver data with F1-like precision. DDN Infinia's approach to RAG pipeline optimization reflects the same engineering excellence that puts Red Bull on the podium.
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Published on August 26, 2025
Summary
Using the analogy of home cooking versus takeout, this article explores how DDN and Oracle Cloud Infrastructure (OCI) combine on-premises and cloud capabilities to create flexible AI data solutions. I examine how this hybrid approach gives organizations the best of both worlds - the control of 'home cooking' with the convenience of 'takeout' cloud services.
My Perspective
The debate between on-premises and cloud infrastructure reminds me of choosing between home cooking and takeout - both have their place, and the best solution often involves both. DDN's partnership with OCI recognizes that modern AI workloads need this flexibility. Sometimes you need the control and customization of cooking at home (on-prem), and sometimes you need the speed and convenience of takeout (cloud). The key is having infrastructure that supports both seamlessly.
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AI & Technology
7 articles
Enterprise & Cloud
4 articles
Leadership & Innovation
4 articles