Jensen Huang, CEO of Nvidia, hit a lot of high concepts and low-level tech speak at his GTC 2025 keynote speech last Tuesday at the sprawling SAP Center in San Jose, California. My big takeaway was that the humanoid robots and self-driving cars are coming faster than we realize.Huang, who runs one of the most valuable companies on earth with a market value of $2.872 trillion, talked about synthetic data and how new models would enable humanoid robots and self-driving cars to hit the market with faster velocity. He also noted that we’re about to shift from data-intensive retrieval-based computing to a different form enabled by AI: generative computing, where AI reasons an answer and provides the information, rather than having a computer fetch data from memory to provide the information. I was fascinated how Huang went from subject to subject with ease, without a script. But there were moments when I needed an interpreter to tell me more context. There were some deep topics like humanoid robots, digital twins, the intersection with games and the Earth-2 simulation that uses a lot of supercomputers to figure out both global and local climate change effects and the daily weather

Nvidia announced the Nvidia Omniverse Blueprint for Earth-2 weather analytics to accelerate the development of more accurate weather forecasting.Climate-related weather events have had a $2 trillion impact on the global economy over the last decade, the company said. The new Omniverse Blueprint equips users with the latest technologies to help global organizations improve risk management and disaster preparedness.The Nvidia Omniverse Blueprint for Earth-2 weather analytics offers reference workflows — including Nvidia GPU acceleration libraries, a physics-AI framework, development tools and microservices — to help enterprises go from prototyping to production with weather forecast models.The company unveiled the news during the keynote speech of Jensen Huang, CEO of Nvidia, at the GTC 2025 event. Earth-2 is a big technological achievement when it comes to predicting the weather, but it’s also a representation of the kind of resources it would take to create an Earth-size metaverse, or simulation environment that is just like the real world. In that way, it interesting to more than just weather people. In his speech, Huang said, “This is one of the biggest things that has happened in the last year. We have made it possible for every important CAE software to be accelerated