Show Notes
TheCUBE Research’s John Furrier and Dave Vellante are on-site at Nvidia GTC in San Jose for the latest theCUBE Pod episode, bringing a clear-eyed look at what’s actually unfolding in AI right now. From Blackwell to Vera Rubin, they walk through how infrastructure is evolving as enterprises move beyond pilots and start building for real-world scale. They unpack Jensen Huang’s trillion-dollar demand projection and what it signals for the AI economy. The focus shifts to inference as the new monetization layer, with OpenClaw, NemoClaw and Grok pointing toward a future built on tokenized software and continuously running agentic workloads. Vellante and Furrier close in on what this means for enterprise strategy. Storage hierarchies, latency decisions, GPU sourcing and system-level co-design are all in play. The takeaway is direct: AI infrastructure is becoming an integrated stack, and organizations need to rethink how everything connects. Read more https://siliconangle.com/2026/03/23/neocloud-expansion-nvidia-ai-strategy-thecubepod/ New episodes every Friday. Subscribe for weekly tech analysis. Spotify: https://open.spotify.com/show/1hBxlS60EKqxohsOVoPrEI?si=6137bdf3d08f4355&nd=1 Apple Podcasts: https://podcasts.apple.com/us/podcast/thecube-podcast/id1674287308 YouTube: https://www.youtube.com/playlist?list=PLenh213llmcYe7nXWic9QsnHUD5fqbEwu 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/ This Week in Enterprise: Nvidia CEO Jensen Huang bids to own the entire AI factory stack Nvidia strengthened its hold on the AI factory market at GTC, unveiling new chips, software and partnerships while pushing a vertically integrated, inference-focused strategy. With Jensen Huang forecasting major growth, Nvidia is positioning itself at the center of the emerging agentic AI economy, even as competitors and partners expand their own AI ambitions. Check it out https://siliconangle.com/2026/03/20/nvidia-ceo-jensen-huang-bids-entire-ai-factory-stack/
More from theCUBE Podcast
Is the AI infrastructure boom headed for a bubble, or is the market missing the bigger picture? In the latest episode of theCUBE Pod, John Furrier and Dave Vellante challenge the skepticism surrounding massive data center investments, pointing to growing inference demand and emerging revenue opportunities across the AI stack.
The latest episode of theCUBE Pod finds John Furrier and Dave Vellante looking past the GPU race to the bigger shift: AI infrastructure becoming a full intelligence production system. Furrier and Vellante connect sovereignty, data movement, networking, storage and compute as enterprises rethink where AI runs, who controls it and why today.
The interface is fading, and AI agents are ready to run the show. On the latest episode of theCUBE Pod, theCUBE Research’s John Furrier and Dave Vellante break down Salesforce’s Agentforce gamble, the rise of headless experiences and why Data Cloud could become the context engine behind enterprise agents everywhere. Furrier points to survey data showing that fewer screens could mean more usage, more activity and a larger role for agents. Vellante follows the money to chips, data centers, CoreWeave and NeoCloud infrastructure, asking who ultimately owns the AI production stack as governance, pricing and a possible “SaaSpocalypse” loom ahead.
Nvidia’s latest quarter raises a bigger question: How far can its AI infrastructure ambitions reach? On theCUBE Pod, theCUBE Research’s John Furrier and Dave Vellante break down the company’s shift beyond GPUs toward full-stack AI factories, tracing monetization gains across Hopper, Blackwell and Vera Rubin architectures and enterprise adoption patterns.
AI’s biggest balancing act is no longer theoretical. In the latest episode of theCUBE Pod, theCUBE Research’s John Furrier and Dave Vellante break down the economics, sovereignty concerns and infrastructure choices shaping enterprise strategies, connecting soaring token and GPU costs with governance, architecture and the push toward on-premises AI factories.