Red Hat Research Quarterly
Highlights from this issue
Red Hat Research Quarterly
From silos to startups: why universities must be part of industry’s AI growth
Ion Stoica, director of the Sky Computing Lab at the University of California, Berkeley, joins an interview with Red Hat AI CTO Brian Stevens.
Volume 7, Issue 1 • ISSN 2691-5278
Departments
Features
Inside this issue
In this issue of RHRQ, we have a provocative discussion between Brian Stevens, AI CTO for Red Hat, and Ion Stoica, a professor at the University of California-Berkeley and director of Sky Lab. It’s a great conversation between two people who have had a transformative influence on distributed systems, cloud computing, and, most recently, AI. […]
The EU Horizon project CODECO aims to provide smoother and more flexible support of services for distributed workloads across the edge-cloud continuum. Here’s what researchers discovered about multicluster networking solutions. The shift towards microservices has redefined how modern applications are built and run. With this architectural style, developers can break down monolithic systems into smaller, […]
As organizations push LLMs into more consequential domains, trust becomes the foundation for scale. Engineers in the open source TrustyAI project developed a guardrailing solution to ensure open source LLMs are both capable and safe for high-stakes deployments. Building trustworthy and controllable enterprise-grade LLM systems is challenging. These systems are increasingly being adopted across domains, […]
The meaning of open source matters for AI. Our roundtable of experts discusses why, how, and for whom. There is general agreement in the open source community that open source is crucial for AI development, both to accelerate innovation and to make it safer and more accessible. At the same time, there is only limited […]





