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In this interview from Red Hat Summit 2026, Stephen Watt, vice president and distinguished engineer in the Office of the CTO at Red Hat, joins theCUBE's Rob Strechay and Rebecca Knight to discuss the "agentic paradox" and how enterprises can navigate escalating token costs while building toward open, self-managed AI infrastructure. Watt draws a parallel to the original cloud paradox — organizations would be unwise not to start on frontier model providers like OpenAI or Anthropic, but at scale, the token economics make it equally unwise to stay. He explains how the vLLM Semantic Router, a widely-cited open source subproject referenced publicly by NVIDIA's Jensen Huang and Microsoft's Satya Nadella, enables inference routing across specialized open weight models to optimize both performance and cost. That journey, he argues, leads enterprises toward centralized platforms like OpenShift AI, where shared observations from distributed pilot programs converge into a coherent, cost-efficient inference strategy. The conversation also explores the guardrails Red Hat is developing to keep autonomous agents from causing unintended damage — including TankOS, a sandboxing approach built on immutable operating systems and rootless container execution that limits what an agent can actually affect. Watt breaks down two emerging patterns for agentic adoption: the copilot model, where developers use large language models to accelerate existing workflows, and the factory model, where spec files and rich test libraries replace direct code editing entirely. He shares how Red Hat's own research team is already deploying an agentic harness internally, replacing manual idea-review processes with agents that evaluate prototypes against a standard playbook. Looking ahead, Watt outlines two research frontiers — multimodal AI via the vLLM-Omni project, which extends inference to audio, image and video, and CPU-based inference designed to address Europe's sovereign AI market, where grid connection timelines and liquid cooling constraints make GPU-heavy deployments impractical for most organizations. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Exploring Red Hat: Insights into Innovation and Future Technologies 03:38 - Navigating AI: Balancing Economics and Efficiency 06:03 - AI Platforms and Token Economics: Integrating Solutions at Red Hat 09:58 - Guiding Innovation: Safeguards and Transformation in AI 12:19 - Red Hat's Internal Use of AI Agents 14:21 - Navigating the Future of AI: Innovations, Infrastructure, and Reflections #theCUBE #RHSummit #theCUBEresearch #RedHat #AI #OpenShift

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