→ Blackwell Ultra's inference performance is 40 times higher than Hopper, improving AI factories and inference AI systems. It will be launched in the second half of 2025.
→ The Llama Nemotron model optimizes AI inference for multi-step problem solving in commercial and technical applications.
→ Isaac GR00T N1 is an open-source robotic AI model announced for the robotics and automation field.
→ DGX Spark and DGX Station bring Grace Blackwell AI to the desktop, enabling local LLM training.
→ General Motors collaborates with NVIDIA to develop AI autonomous driving technology, factories, and robots.
→ Silicon photonic networks (Spectrum-X, Quantum-X) increase AI factory efficiency by 3.5 times and network resilience by 10 times.
→ NVIDIA Vera Rubin and Rubin Ultra GPUs will drive cost and efficiency improvements in AI data centers from 2026 to 2027.
→ The CUDA-X libraries running on GH200 and GB200 superchips have increased engineering simulation speeds by 11 times.
<img src="https://imageproxy.pbkrs.com/https://wpimg-wscn.awtmt.com/b5429504-0c82-4daf-a50a-42159ab19348.jpeg?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://wpimg-wscn.awtmt.com/b5429504-0c82-4daf-a50a-42159ab19348.jpeg"/>

NVDA

Jensen Huang emphasized several advancements in AI technology during his speech, including Blackwell Ultra's inference performance being 40 times higher than Hopper, expected to launch in 2025; Llama Nemotron model optimizing AI inference; Isaac GR00T N1 open-source robot AI model; DGX Spark and DGX Station enabling local LLM training; General Motors collaborating with NVIDIA to develop autonomous driving technology; silicon photonic networks enhancing AI factory efficiency; Vera Rubin and Rubin Ultra GPUs driving improvements in AI data center costs and efficiency; and the CUDA-X library increasing engineering simulation speed on super chips

- Blackwell Ultra's inference performance surpasses Hopper by 40 times, enhancing AI factories and inference AI systems, with a launch planned for the second half of 2025.  
- The Llama Nemotron model optimizes AI inference for multi-step problem-solving in commercial and technical applications.  
- Collaborations, such as General Motors with NVIDIA, aim to develop AI-driven autonomous technologies, while innovations like silicon photonic networks significantly boost AI factory efficiency and resilience.