Bloomberg Tech

2026-05-19 · Hosted by Caroline Hyde, Ed Ludlow · Bloomberg / iHeartMedia

Executive Summary

Live from Dell Technologies World 2026 in Las Vegas, Jensen Huang (Nvidia CEO) and Michael Dell (Dell Technologies CEO) discussed the shift from AI evaluation to production deployment, with Huang declaring “this is literally the very beginning of the agent AI buildout.” The conversation centered on agentic AI’s transformation of enterprise computing — from cloud-only to on-premises deployments — and the new Nvidia Vera CPU designed specifically as the runtime for AI agents. Huang described an architecture in which hundreds of billions of AI agents will require the same computing resources as today’s human digital workers, projecting a build-out lasting “at least a decade.” China policy and Taiwan supply chain security also figured prominently, with Huang reporting that H200 chips are now licensed for sale to China following President Trump’s trip.

Key Stories & Changes

1. Agentic AI Moves from Testing to Production

  • Huang said AI has “moved from testing and evaluating into production” across major enterprises

  • Eli Lilly (1,000 GPUs on-prem), Samsung, and other large corporates cited as real-world examples

  • Dell cited 10x–100x productivity improvements versus 10–30% from prior technology cycles

  • Dell’s role: translating Nvidia technology into enterprise solutions — “Dell will do for the world’s enterprises what the clouds do for the clouds”

2. Nvidia Vera CPU — The Agent Runtime

  • Huang introduced the Vera CPU as the highest-performing CPU in the world, designed for agentic AI

  • Architecture breakdown: GPU brain → Vera CPU harness → NemoClaw agent runtime → OpenShell secure container

  • Agents need the harness to access memory, use tools, and maintain both working and long-term memory

  • Dell projects “a lot more CPUs” will be needed as agents use tools “all the time” vs. humans occasionally

  • Michael Dell estimated hundreds of billions of agents vs. current ~1 billion human digital workers

3. Supply Chain Constraints and Memory Cycle

  • Biggest constraint: memory and advanced node semiconductors

  • Huang said demand is “much greater than the overall capacity of the world” but supply chain is “lined up” — HBM, Grace Blackwells, CPUs, silicon photonics all coordinated

  • Huang told Micron’s Sanjay Mehra and SK Hynix’s Tony the future roadmap “exactly as this is happening right now” three years ago; both are investing

  • Memory suppliers historically cyclical — Huang argued this is “a complete change in the structure of that market” not a boom-bust cycle

  • Supply chain is “probably quadrupling every year” but demand growth will keep it tight “for at least a decade”

4. China and H200 Licensing

  • Huang just returned from China accompanying President Trump

  • H200 chips are now licensed to sell to China; Huang expressed optimism that market will open further

  • President Xi stated China will be “an even wider open market”; Premier Li echoed open-market intent

  • Huang: “I was there to represent the United States and I was honored to do so”

  • Michael Dell: “I hope there is more economic collaboration between the United States and China”

  • Neither discussed specifics of H200 sales with Chinese officials directly; that was the president’s purview

5. Taiwan Supply Chain and US Re-industrialization

  • Huang: Taiwan “will continue to be one of the epicenters of the world’s technology home”

  • Nvidia building chip factories, packaging, and AI factories in the United States for supply diversity

  • Goal is “supply chain diversity and resilience” — not replacing Taiwan but supplementing it

6. PC and Personal AI

  • Dell teased “very soon” announcement about collaboration on PCs with powerful Nvidia GPUs

  • Huang: “Instead of personal computers, we want personal AI”

  • AI needs to run locally where the context is — laptop for personal use, factory for industrial agents, hospital for medical agents

1. On-Premises AI D

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