Technically Speaking with Chris Wright
Technically Speaking with Chris Wright
Podcast Description
Struggling to keep pace with the ever-changing world of technology? For experienced tech professionals, making sense of this complexity to find real strategic advantages is key. This series offers a clear path, featuring insightful, casual conversations with leading global experts, innovators, and key voices from Red Hat, all cutting through the hype.
Drawing from Red Hat's deep expertise in open source and enterprise innovation, each discussion delves into new and emerging technologies-- from artificial intelligence and the future of cloud computing to cybersecurity, data management, and beyond. The focus is on understanding not just the 'what,' but the important 'why' and 'how': exploring how these advancements can shape long-term strategic developments for your organization and your career. Gain an insider’s perspective that humanizes complex topics, helping you anticipate what’s next and make informed decisions. Equip yourself with the knowledge to turn today's emerging tech into valuable, practical strategies and apply innovative thinking in your work.
Tune in for forward-looking discussions that connect the dots between cutting-edge technology and real-world application, leveraging a rich understanding of the enterprise landscape. Learn to navigate the future of tech with confidence.
Podcast Insights
Content Themes
The podcast explores a variety of technology topics including artificial intelligence, cloud computing, open source innovation, and cybersecurity. Specific episodes include discussions on AI optimization strategies with experts like Nick Hill and insights into enterprise AI implementations with Brian Stevens, focusing on real-world applications and strategic developments.
Struggling to keep pace with the ever-changing world of technology? For experienced tech professionals, making sense of this complexity to find real strategic advantages is key. This series offers a clear path, featuring insightful, casual conversations with leading global experts, innovators, and key voices from Red Hat, all cutting through the hype.
Drawing from Red Hat’s deep expertise in open source and enterprise innovation, each discussion delves into new and emerging technologies– from artificial intelligence and the future of cloud computing to cybersecurity, data management, and beyond. The focus is on understanding not just the ‘what,’ but the important ‘why’ and ‘how’: exploring how these advancements can shape long-term strategic developments for your organization and your career. Gain an insider’s perspective that humanizes complex topics, helping you anticipate what’s next and make informed decisions. Equip yourself with the knowledge to turn today’s emerging tech into valuable, practical strategies and apply innovative thinking in your work.
Tune in for forward-looking discussions that connect the dots between cutting-edge technology and real-world application, leveraging a rich understanding of the enterprise landscape. Learn to navigate the future of tech with confidence.
You might view PyTorch simply as a tool for data scientists building models, but it has become a critical infrastructure bridge for modern AI-powered workloads. Acting as the functional “kernel” of the modern AI stack, PyTorch handles the complex mathematical abstractions and hardware offloading necessary to turn raw computing power into scalable enterprise systems.
In this episode of Technically Speaking with Chris Wright, Red Hat Chief Technology Officer Chris Wright sits down with Steve Pousty, Principal AI Community Architect in the Red Hat Open Source AI Program Office. Together, they map out how open source is driving the evolution of data architecture and why Red Hat is focusing heavily on this ecosystem. They draw clear historical parallels to the early days of Linux and Kubernetes, outlining how the enterprise landscape is rapidly transitioning from raw upstream projects to fully supported, standardized AI distributions.The conversation explores the key architectural pillars within the PyTorch Foundation ecosystem.
Chris and Steve break down the importance of distributed computing using cluster systems like Ray, hardware-agnostic model serving powered by vLLM, and optimization frameworks like Helion DSL that slash execution runtime constraints at scale. They also detail the introduction of Kubernetes-native distributed inference engines like llm-d and explain how open source governance establishes a neutral playing field that provides true hardware choice for the data center. Tune in to discover how to transition your AI strategies from lab experiments to robust enterprise deployments.
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