In this episode, we discuss Google's Gemini 4 Argon becoming generally available through Google's cloud API, AI Studio, and the Antigravity agentic coding tool. We cover its scheduled price increase, ServiceNow's early results, the Argon Cyber Permissive security model, and the migration gaps developers should test before moving to Gemini 4 Argon. We then look at NVIDIA open sourcing its full Run AI GPU orchestration platform, including the KAI Scheduler, GPU Fractioning Operator, and a free Community Product for Kubernetes, plus why partner OpenNebula frames NVIDIA Run AI as a step toward infrastructure sovereignty. Finally, we examine Microsoft's plan to make its custom Maia chips the primary engine behind Copilot and its AI services, with Maia 300 built for agent workloads and Microsoft Maia slated for multi-gigawatt deployment starting in 2027.
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