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

Episode notes

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: SHOW SPONSORS: VENTION - Ready for expert developers who actually deliver? Visit ventionteams.com 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?

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