More AI Engineering Podcast episodes
Published 25 Feb 2026
Duration: 01:01:16
This podcast discusses the Bruin framework for improving AI development and control through open-source tools and infrastructure, with a focus on national sovereignty over AI systems and data.
SummaryIn this episode of the AI Engineering Podcast, Steven Watt, leader of the Office of the CTO at Red Hat, discusses practical paths to achieving...
The podcast outlines the Bruin framework, an open-source data infrastructure tool aimed at simplifying data integration, movement, governance, and AI workflow development. It underscores the concept of AI sovereignty, which involves maintaining control over AI infrastructure, data, and compliance at both organizational and national levels. The discussion highlights varying approaches to AI development across regions such as the U.S., Europe, and emerging markets, shaped by their distinct geopolitical and economic priorities, including a focus on energy efficiency, open-source models, and national innovation initiatives.
The conversation also addresses the increasing complexity of AI systems and the need for scalable, efficient infrastructuresuch as Kubernetes and specialized data storesto support AI workflows. Challenges in managing large language models, including inference, security, and permission policies, are examined. The role of open-source tools, in-house data, and post-training processes in achieving sovereign AI is emphasized, along with the rapid pace of AI research and the importance of accessible tools and infrastructure to foster broader innovation.
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