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Shownotes
video: youtu.be/AQcthnOPHlA
In this episode of Destination Linux, we interview Sherard Griffin, the Head of Engineering for OpenShift AI at Red Hat. Sherard joins us to reveal how his team is scaling machine-learning across hybrid clouds and containers. He breaks down the Open Data Hub reference architecture and shows how it and other Open Source platforms democratize access to powerful AI tooling. Griffin also explains why transparent model lineage and cost efficient runtimes are non-negotiable for trustworthy enterprise AI deployments, and he shares candid insights on using open infrastructure at scale to unlock the next wave of generative AI innovation.
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Forum Discussion Thread (destinationlinux.net/forum)
Download as MP3 (aphid.fireside.fm/d/1437767933/32f28071-0b08-4…)
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Hosted by:
Ryan (DasGeek) = dasgeek.net
Jill Bryant = jilllinuxgirl.com
Michael Tunnell = michaeltunnell.com
Links:
• redhat.com/en/technologies/cloud-computing/ope…
Chapters:
Intro
Sherard Griffin: OpenShift AI Meets Destination Linux
What Sparked the Tech Passion?
How Open Source Proved Its Power to Sherard
Red Hat Had Data to Crunch—and Sherard Was In
From Skepticism to Scale: Championing Kubernetes
Sandfly Security, agentless Linux security [ad]
AI for Everyone: Red Hat’s Plan to Keep It Open
Is AI Replacing Us?
Beyond the Hype: Making AI Work Where It Matters
Inside the Big Projects Sherard’s Leading Today
Why Linux Is Built for the Future of AI
Landing a Job in Open Source: Sherard’s Advice
Guiding the Next Generation into Software Careers
Lightning Round
Final Thoughts and a Big Thank You to Sherard
Support the Show
Outro
