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Nvidia Shows Off AI Superchips, Humanoid Robots, and Self-Driving Tech

Good morning. It’s Wednesday, March 19th.

On this day in tech history: in 1997, Toshiba released the first consumer DVD players in the United States.

In today’s email:

  • NVIDIA’s GTC 2025 Conference

  • 5 New AI Tools

  • Latest AI Research Papers

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In partnership with TAU

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Today’s trending AI news stories

Nvidia Shows Off AI Superchips, Humanoid Robots, and Self-Driving Tech

At GTC 2025, NVIDIA CEO Jensen Huang made several AI and robotics reveals:

Headlining the drop is Blackwell Ultra, a silicon sledgehammer that delivers 1.5 times the speed of its predecessor. Paired with a Grace CPU, it powers the GB300 superchip, a dual-GPU system processing 1,000 tokens per second on DeepSeek’s R1 model—ten times faster than Hopper. Nvidia also previewed its next-gen chips, Vera Rubin and Feynman, set for 2026 and 2028.

cuOpt, Nvidia’s AI-powered optimization engine, is now open-source, making real-time decision-making accessible to developers. GPU-accelerated and 20 times faster than traditional methods, it integrates with Python and Nvidia’s RAPIDS framework, allowing businesses to optimize logistics and resource allocation without enterprise costs.

GR00T N1 makes humanoids less robotic: Isaac GR00T N1 pushes humanoid robotics forward, combining reflex-driven actions with deeper reasoning. With GR00T Blueprint generating synthetic training data and Newton refining movement physics, companies like 1X Technologies, Boston Dynamics, and Disney are already integrating it into their robots.

Personal AI supercomputers hit the desktop: Nvidia is bringing raw AI compute within arm’s reach. DGX Spark, a compact inferencing box, runs on the GB10 Grace Blackwell Superchip, while the larger DGX Station packs the GB300 Blackwell Ultra Superchip with 20 petaflops of performance. Asus, Dell, and Lenovo will launch versions this year.

Halos sets the bar for AV safety: Nvidia’s Halos framework stress-tests self-driving AI through simulation and real-world validation, with GM already integrating it into future vehicles. The AI Systems Inspection Lab—the first ANSI-accredited AV safety program—will oversee compliance.

AI watermarking and open-source data fuel transparency: Nvidia is embedding Google DeepMind’s SynthID watermarking into Cosmos-generated videos. It also released a 15-terabyte open-source dataset with 320,000 robotic trajectories and AV data from 1,000 cities, accelerating AI safety research.

Watch Jensen Huang's Full NVIDIA keynote here.

4 new AI-powered tools from around the web

arXiv is a free online library where researchers share pre-publication papers.

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