Extreme Scale Up: Trillions, Exaflops & The AI Factory Revolution! #artificialintelligence #nvidia

Join NVIDIA CEO Jensen Huang at GTC as he unveils the most extreme scale-up in computing history—from trillions of transistors to exaflop-scale AI compute. Discover how NVIDIA’s Grace Blackwell architecture and the MV-LINX rack are powering the next generation of AI factories. With 130 trillion transistors and 20 trillion dedicated to compute, this groundbreaking platform redefines what's possible in AI infrastructure, supercomputing, and chip design. This keynote marks a pivotal moment in the AI revolution, highlighting how NVIDIA is enabling massive scale, disaggregation, and integration to meet global demand for intelligent compute. Don’t miss the future of AI—being built today.

Transcript: "20 cars worth of parts and integrates into one supercomputer. Well, our goal is to do this. Our goal is to do scale up. And this is what it now looks like. We essentially wanted to build this chip. It's just that no radical limits can do this, no process technology can do this. It's a hundred and thirty trillion transistors, twenty trillion of it is used for computing. So it's not like you can reasonably build this anytime soon. And so, the way to solve this problem is to disaggregate it, as I've described, into the Grace Blackwell MV-LINX-XXII rack. But as a result, we have done the ultimate scale-up. This is the most extreme scale-up the world has ever done. The amount of computation that's possible here."

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#NVIDIA #JensenHuang #ArtificialIntelligence #GTC2025 #AIFactory #ExaflopCompute