NVIDIA’s Open Software Trap: The Real Cost of the New Inference Stack

SUMMARY: We dig into the NVIDIA GTC keynote and highlight three things - accelerated computing for everything, the complexity of the new inference stack, and NVIDIA’s “open” software stack including NemoClaw.

SHOW: 1012

SHOW TRANSCRIPT: The Reasoning Show #1012 Transcript

SHOW VIDEO: https://youtu.be/aXOr91q76yM

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SHOW NOTES:

• NVIDIA GTC 2026 (Keynote)
• NVIDIA NemoClaw - OpenClaw + OpenShell + NVIDIA Agent Toolkit
• NVIDIA adds Groq LPU to their rack systems
• NVIDIA to invest $26B in Open Weight Models
• Interview with Jensen about Accelerated Computing (Stratechery)

Topic 1 - Jensen’s trying to paint the bigger picture of accelerated computing everywhere (robotics, autonomous driving, gen-ai, physical ai - but also just everyday enterprise apps). Everything is about keeping the stock price up, and margins high. The stock price provides the warchest to fight off all foes. 

Topic 2 - The inference architecture is a complex mix of GPUs, CPUs, ASICs/LPUs, high-speed networking and seems very different from the training architecture. How big is the burden on data center providers? What are the inference alternatives emerging? 

Topic 3 - Jensen talked a lot about OpenClaw and eventually about NVIDIA’s NemoClaw. How does his interest in Agentic AI tie into his interest in building NVIDIA’s own frontier model

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