Technically Speaking with Chris Wright

Red Hat

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.

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12 episodes
monthly
Avg 24 min
English

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S2 · E3
August 5 · 23 min
Standardizing the AI stack with PyTorch ft. Steven Pousty
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 Pou
S2 · E2
July 1 · 25 min
Defining sovereign AI with open source ft. Jered Floyd
What does digital sovereignty actually mean when most AI runs on someone else's black box? In this episode of Technically Speaking, Red Hat CTO Chris Wright talks with Jered Floyd from the Red Hat Field CTO team about what sovereignty really requires in the age of AI infrastructure. They examine the four pillars of modern sovereign operations: data sovereignty, operational sovereignty, technology sovereignty, and assurance sovereignty. Along the way, Chris and Jered also take on a common miscon
S2 · E1
June 3 · 29 min
Inside open source AI strategy ft. Steve Watt
Go behind the scenes of Red Hat's internal innovation engine to discover how we evaluate emerging open source tech and choose exactly where to place our next major technology bets. In this episode of Technically Speaking, Red Hat Chief Technology Officer Chris Wright sits down with Steve Watt, Vice President of the Office of the CTO at Red Hat, for a clear, "200-level" look at what's coming down the road. Together, they map out how Red Hat’s pathfinding group tracks open source innovations and s
S1 · E8
January 7 · 26 min
Build a production-ready AI toolbox ft. Cat Weeks
While generative AI demos are flashy, moving those capabilities into a reliable, secure enterprise production environment is a different ballgame. In this episode of Technically Speaking, Red Hat CTO Chris Wright sits down with longtime Red Hatter and engineering leader Cat Weeks to dismantle the myth that you need a massive ""Frontier Model"" for every task. Together, they explore the practical realities of enterprise AI, advocating for a ""right tool for the job"" approach. The conversation d
S1 · E7
Dec 3, 2025 · 28 min
Platform engineering for AI agents ft. Tushar Katarki
A decade ago, the shift from monolithic applications to microservices created an explosion of complexity that only Kubernetes could tame. Today, the enterprise is facing a similar inflection point. We are moving beyond simple chatbots to "Agentic AI"—autonomous systems capable of planning, tool calling, and executing complex workflows. But with this innovation comes fragmentation: how do you manage security, memory, observability, and scale across thousands of agents and models? In this episode
S1 · E6
Nov 5, 2025 · 27 min
Driving healthcare discoveries with AI ft. Jianying Hu
We often hear about AI's potential to generate text and code, but its application in healthcare and life sciences promises a more profound impact: solving our most fundamental challenges in disease and medicine. This isn't just about applying existing LLMs; it's about building entirely new foundation models that understand the complex language of biology itself. To explore this new frontier, Red Hat CTO Chris Wright speaks with Dr. Jianying Hu, an IBM Fellow, Global Science Leader of AI for Heal
S1 · E5
Oct 1, 2025 · 21 min
Security for the AI supply chain ft. Aeva Black
The software supply chain has always been a critical battleground, but AI introduces an exponential increase in scale and complexity. We are no longer just securing lines of code; we are now responsible for securing the models that generate it. This a new reality that shifts the entire attack surface for distributed IT systems. To explore this new frontier, Red Hat CTO Chris Wright speaks with Æva Black, an open source security and policy expert. Æva Black shares their extensive insights and ex
S1 · E4
Sep 3, 2025 · 30 min
Taming AI agents with observability ft. Bernd Greifeneder
As modern IT systems grow too complex for humans to effectively manage, there's growing interest in turning to autonomous AI agents for operations. While powerful, these agents introduce new challenges around trust, reliability, and control. To explore how to solve for this, Red Hat CTO Chris Wright speaks with Bernd Greifeneder, Founder and CTO of Dynatrace [LINK: https://www.dynatrace.com], a company that has long focused on managing complexity with AI. Bernd Greifeneder shares his industry i
S1 · E3
Aug 6, 2025 · 26 min
Inside distributed inference with llm-d ft. Carlos Costa
Scaling LLM inference for production isn't just about adding more machines, it demands new intelligence in the infrastructure itself. In this episode, we're joined by Carlos Costa, Distinguished Engineer at IBM Research, a leader in large-scale compute and a key figure in the llm-d project. We discuss how to move beyond single-server deployments and build the intelligent, AI-aware infrastructure needed to manage complex workloads efficiently. Carlos Costa shares insights from his deep backgroun
S1 · E2
Jul 2, 2025 · 20 min
Building more efficient AI with vLLM ft. Nick Hill
Explore what it takes to run massive language models efficiently with Red Hat's Senior Principal Software Engineer in AI Engineering, Nick Hill. In this episode, we go behind the headlines to uncover the systems-level engineering making AI practical, focusing on the pivotal challenge of inference optimization and the transformative power of the vLLM open-source project. Nick Hill shares his experiences working in AI including: • The evolution of AI optimization, from early handcrafted systems
S1 · E1
Jun 4, 2025 · 29 min
Scaling AI inference with open source ft. Brian Stevens
Explore the future of enterprise AI with Red Hat's SVP and AI CTO, Brian Stevens. In this episode, we delve into how AI is being practically reimagined for real-world business environments, focusing on the pivotal shift to production-quality inference at scale and the transformative power of open source. Brian Stevens shares his expertise and unique perspective on: • The evolution of AI from experimental stages to essential, production-ready enterprise solutions. • Key lessons from the early d
May 30, 2025 · 43 sec
Technically Speaking w/ Chris Wright: Deeper tech, more insights
Ready to go deeper into the ever-evolving landscape of technology? Technically Speaking, hosted by Red Hat CTO and SVP of Global Engineering Chris Wright, is back and reimagined to guide you with more depth and candor. This series cuts through the noise, offering insightful, casual, and now even more in-depth conversations with leading experts from across the globe. Each discussion delves further into new and emerging technologies, helping you understand not just the 'what,' but the 'why' and '

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