Jensen Huang on Bloomberg Intelligence
Nvidia CEO Jensen Huang & Dell CEO Michael Dell on Agentic AI, Memory Demand and China
Mostly a repackaging of the same Bloomberg interview already available in the corpus, with familiar agentic-AI, supply-chain, and China themes. Skip unless you specifically want Huang’s concise definition of an agent harness.
>> Harness Harness is what uh puts a puts a harness around the large language model so that it can access memory, access the network, use tools, have local scratchpad memory, working memory, access long-term memory, and so that harness basically turns, if you will, the brain into an agent, okay? Into a digital robot, if you will, that can do work. And so, now the agent runs on a CPU. We also worked with Dell to create a new type of long-term memory for agents.
Jensen Huang discusses the shift from cloud-centered AI toward agents operating near proprietary data and real-world activity. He also covers the infrastructure implications of agentic AI, including memory demand, semiconductor capacity, long-term supply-chain planning, China market access, and manufacturing diversification.