Nvidia CEO Jensen Huang Unveils Vision for AI and Robotics at Taiwan Keynote

Nvidia CEO Jensen Huang took the stage in Taiwan with a sweeping vision for the future of computing, unveiling a wide range of new technologies and reasserting the company’s central role in driving innovation across artificial intelligence, robotics, and enterprise infrastructure. Speaking to a packed audience, Huang began by celebrating Nvidia’s three-decade-long partnerships in Taiwan, before laying out the keynote’s core themes: redefining the technology stack, introducing breakthrough products, and deepening ecosystem collaboration. <div style="left: 0; width: 100%; height: 0; position: relative; padding-bottom: 56.25%;"><iframe src="https://www.youtube.com/embed/TLzna9__DnI?rel=0" style="top: 0; left: 0; width: 100%; height: 100%; position: absolute; border: 0;" allowfullscreen scrolling="no" allow="accelerometer *; clipboard-write *; encrypted-media *; gyroscope *; picture-in-picture *; web-share *;"></iframe></div> ### From Graphics to Global Infrastructure Huang chronicled Nvidia’s transformation from a graphics chip maker into a global computing powerhouse, highlighting key milestones such as the launch of CUDA in 2006 and DGX1 in 2016 — systems that catalyzed the modern AI revolution. Nvidia’s acquisition of Mellanox in 2019, he noted, further solidified its leadership in data center-scale computing. He framed AI as the new electricity — a foundational infrastructure that, within a decade, will permeate all sectors of life. Central to this vision is the concept of "AI factories" that produce tokens — digital goods derived from compute power — marking a radical new model of value creation. ### Unveiling New Hardware and Software A series of product announcements underscored Nvidia’s commitment to both consumer and enterprise innovation. Huang introduced the **GeForce RTX 5060**, showcasing advanced neural rendering via DLSS to elevate real-time graphics. On the professional front, he unveiled **DGX Spark** and the **DGX Station**, personal AI supercomputers built to run trillion-parameter models. The **Grace Blackwell** platform, designed for massive-scale inference and AI reasoning, was a highlight. Featuring liquid cooling and advanced NVLink interconnects, the GB300 system exemplifies Nvidia’s push toward scalable, high-performance AI infrastructure. ### Accelerating AI Everywhere Nvidia’s software ecosystem was equally emphasized, with Huang showcasing CUDA-X libraries across domains like genomics, numerical computing, and computer graphics. CUDA-Q, a new quantum-classical computing framework, points to Nvidia’s ambitions in quantum computing. Huang also announced strategic partnerships with telecom firms to bring AI to 5G and 6G networks and revealed MVLink Fusion, enabling semi-custom AI systems with CPUs and ASICs. Collaborations with MediaTek and Qualcomm were highlighted. ### Generative AI, Robotics, and the Physical World In one of the keynote’s most forward-looking segments, Huang explored **agentic AI** — systems capable of reasoning, perceiving, and acting — and its implications for robotics. He unveiled platforms like **Isaac Sim**, **Newton physics engine**, and **Jetson Thor**, designed to train and deploy physically aware robots. The company’s Omniverse platform plays a central role in building **digital twins** for manufacturing and urban planning. Demonstrations included use cases from Taiwanese cities and enterprises, reinforcing Taiwan’s integral role in Nvidia’s ecosystem. ### Nvidia Constellation and Taiwan’s AI Future In closing, Huang announced **Nvidia Constellation**, a new office in Taiwan that will serve as a hub for the company’s growing engineering and R\&D efforts. He expressed gratitude to Nvidia’s Taiwanese partners and reaffirmed the country’s role in the global AI supply chain. “AI is the defining technology of our time,” Huang said. “With our partners here in Taiwan, we are building the factories of the future — not of things, but of intelligence.” ---