March 18 (Reuters) - Nvidia CEO Jensen Huang, on Tuesday, unveiled the company's next-generation line of chips at its annual software developer conference, aiming to reassure investors of its dominance in the rapidly evolving artificial intelligence industry.
He talked up product innovations at Nvidia and the company's fast development cadence, but the stock furthered its decline.
Here are all the products announced on stage:
Nvidia said its next graphics processing unit (GPU), called Blackwell Ultra, will be available in the second half of this year. The new GPU features larger memory than its current generation, enabling it to support larger AI models.
The latest Rubin chips and servers are set to offer improved speeds compared to their predecessors, especially in data transfers between chips, a key factor for the efficient operation of expansive AI systems that require multiple chips.
Paired with Nvidia's custom-designed processor, Vera, the new Vera Rubin computing system is expected to outperform the company's Blackwell architecture.
Vera Rubin will be released in the second half of 2026, followed by the launch of Vera Rubin Ultra in 2027.
The Vera Rubin system will be succeeded by the Feynman architecture, scheduled for release in 2028.
Nvidia announced its new DGX AI computers, powered by its Blackwell Ultra chips, designed to assist developers in inferencing large models on desktops. The computers will be made by companies including Dell, Lenovo and HP. The device, which follows a smaller desktop machine introduced earlier this year, is seen as a direct challenge to some of Apple's top-end Macs.
Nvidia's new silicon photonics networking chips will enable AI factories to connect millions of GPUs across various sites, while drastically reducing energy consumption.
The Quantum-X Photonics chips are expected to be available later this year, followed by the launch of Spectrum-X chips in 2026.
The software, which Nvidia released for free, is intended to speed up the process of reasoning, in which AI models think through an answer to a question in multiple steps, rather than giving a one-shot answer.
GR00T N1 is a foundational model for humanoid robots, equipped with a dual system for both fast and slow thinking - much like reasoning models.
The framework for GR00T N1 includes Newton, an open-source physics engine developed along with Google DeepMind and Disney Research, and built for creating robots.
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