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Dell, Nvidia CEOs Discuss Personal AI Shift

Dell and Nvidia CEOs discuss the shift to personal AI, agentic AI, and growing demand for AI infrastructure.

Grace Lewis
ByGrace Lewis- Senior Editor
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Bond.az -- Nvidia CEO Jensen Huang and Dell Technologies CEO Michael Dell outlined their vision for distributed computing during a Monday appearance with Bloomberg TV at Dell Technologies World 2026 in Las Vegas.

The executives discussed the evolution from personal computers to what Huang called 'personal AI,' where computing needs to occur at the point of context rather than solely in the cloud. Huang explained that AI must run locally where information and action exist, whether on a laptop, in a factory, or inside an autonomous vehicle.

Dell said the PC remains central to productivity for knowledge work, with customers demanding more powerful devices to support hybrid AI capabilities. The company is embedding the ability to run small and local models inside PCs.

Huang described how agentic AI has changed computing architecture. He said the technology requires building large language models as a 'brain,' then adding what he called a harness that allows the model to access memory, networks and tools to function as a digital agent.

Nvidia is launching what Huang described as the highest performing CPU in the world, designed specifically for agentic AI. The company worked with Dell to create a new type of long-term memory for agents called the Dell AI Data Platform.

Dell said companies are discovering that reimagining workflows with this technology delivers improvements of 10 to 30 times rather than incremental gains of 10% to 30%.

Both executives said demand for AI infrastructure exceeds current supply, with memory and advanced semiconductors remaining constrained. Huang said the semiconductor supply chain is expanding but demand is growing faster.

Dell noted that agent frameworks inside companies require significantly more CPUs than previous computing models, as agents use tools constantly and quickly compared to human users.

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