Tokens, generated by a novel factory, serve as AI's foundational elements, transforming images into scientific data, exploring unknown territories, detecting Earth's hidden dangers, enhancing agricultural productivity, aiding medical diagnoses, and conserving wildlife.

Tokens are revealed as transformative elements that decode the laws of physics, enhancing efficiency and enabling technological advancements that bring joy and comfort. They signify significant leaps in human capability, allowing exploration beyond known limits, starting from a doctor's visit and extending to the cosmos.

At the inaugural GTC Paris, NVIDIA's CEO highlights the evolution of accelerated computing, emphasizing significant advancements in libraries for various applications, including semiconductor design, molecular dynamics, and quantum computing. He announces the integration of CUDA Q with Grace Blackwell 200, marking a pivotal moment in quantum-classical computing collaboration.

The speaker congratulates the quantum computing industry for its accomplishments and discusses the significant progress in AI, transitioning from perception and generative capabilities to agentic AI, which involves understanding, reasoning, and planning. This new wave of AI is revolutionizing robotics and is rooted in advancements started with GeForce and accelerated computing applications.

The dialogue explores the advancement from traditional GeForce graphics cards to complex, thinking machines like GB 200 and GB 300, emphasizing the role of digital twins in designing, planning, and operating physical entities digitally before their physical realization. The discussion highlights the creation of a 'thinking machine' capable of reasoning and planning, akin to human thought processes, and the technological innovations required to assemble a giant virtual GPU with high energy efficiency and low power consumption.

The dialogue discusses the evolution from the Hopper system, featuring 8 GPUs connected via NVLink, to the Blackwell node, which offers superior performance and liquid cooling. The introduction of the MVLink system allows for the disaggregation of traditional motherboard components, enabling more efficient scaling up of AI supercomputers. This innovation results in a system capable of achieving 30-40 times more performance than previous generations, necessary for handling the increased computational demands of reasoning models in AI.

The dialogue details the intricate engineering process behind the Grace Blackwell supercomputing systems, highlighting the technological advancements and global collaboration required for their mass production. It emphasizes the system's high performance and efficiency, surpassing previous supercomputers while consuming significantly less power, and discusses the potential for these systems to drive future discoveries and innovations.

The dialogue discusses the introduction of the Grace Blackwell system, emphasizing its adaptability for both advanced AI operations and traditional IT systems. It highlights the RTX Pro server, designed to bridge AI-native architectures with conventional enterprise IT, offering compatibility with various operating systems and applications, thus transforming data center capabilities globally.

AI data centers, or AI factories, are redefining the concept of data storage by solely focusing on generating intelligent tokens for various industries, transforming them into critical revenue-generating facilities. These facilities, equipped with a vast number of computers, are not traditional data centers but are designed and scaled to produce AI, significantly impacting economies worldwide. Leaders across nations are recognizing the importance of integrating AI factories into their infrastructure, leading to a new industrial revolution driven by artificial intelligence. Europe is notably increasing its AI computing capacity by tenfold within two years, addressing shortages and enhancing AI capabilities for researchers and startups.

Nvidia is partnering with countries worldwide to develop AI ecosystems, establishing technology centers in seven nations for collaborative research and startup engagement. The UK ecosystem, recently visited, is built on the Nvidia stack, showcasing partnerships with major players in computing, software, and cloud services. This reinvented computing stack supports a new software development paradigm, integrating DevOps, ML ops, and AI ops, with support from solution integrators and providers. Significant partnerships exist in the UK, Germany, Italy, and France, aiming to upskill local economies and integrate AI capabilities into enterprises.

During a visit by President Macron, significant announcements are made regarding AI advancements and partnerships in France, including a collaboration with Schneider to build AI factories digitally and a partnership with a young European AI company to develop an AI cloud. The dialogue emphasizes the rapid evolution of AI technology, the importance of digitalizing factories using AI, and the dedication to enhancing open-source AI models for enterprise applications.

A partnership with Perplexity integrates regional models into their reasoning search engine, allowing queries tailored to specific cultures and languages. Agentic AI, characterized by its capability to reason, plan, and execute tasks autonomously, represents a significant advancement from one-shot AI. An example demonstrates how a single prompt can initiate a complex, multi-step plan involving various AI agents to start a food truck business in Paris. The need for high-performance systems is highlighted due to the exponential increase in data processing required by agentic AI. Companies are encouraged to build specialized agents using provided platforms, tools, and frameworks, showcasing the future of AI integration in businesses.

Nvidia introduces DGX Lepton, a system enabling deployment of AI microservices across various clouds, including public, regional, and private, simplifying management and scalability for diverse computing needs.

The dialogue highlights the evolution of AI supercomputers, starting with the DGX 1 built in 2016, and progresses to discuss the development and capabilities of Lepton, a platform enabling on-demand access to a global network of GPUs across various clouds and regions. It emphasizes the ease and reliability Lepton provides for developers in managing multi-cloud GPU clusters, deploying AI models, and monitoring progress in real time. The discussion also showcases several companies and applications built on NVIDIA's technology, illustrating the widespread adoption and integration of AI solutions across different industries.

The discussion highlights the significance of Europe's contribution to AI, specifically mentioning the Synapse 1 computer from 1992 which ran neural networks 8000 times faster than CPUs at the time. A partnership with Siemens aims to fuse European industrial capabilities with AI, leading to the Industrial AI Revolution. This collaboration spans various areas including design, simulation, digital twins of factories, and AI operations, presenting a significant opportunity to revolutionize industries through smart software.

The narrative outlines the progression from the inception of the Industrial Revolution, marked by innovations like Watt's steam engine, through the electrification era led by figures such as Faraday and Siemens, to the current era of AI and robotics. It highlights the transformation of manufacturing, the advent of intelligent autonomous agents, and the development of a collaborative workforce addressing global labor shortages.

The dialogue highlights the utilization of digital twins in Omniverse by various companies, including BMW, Mercedes Benz, Schaefer, a French train station, and Toyota, to design, plan, and simulate the effectiveness of their factories and warehouses before physical implementation.

The speaker discusses the significance of digital twins in enabling robots to learn realistic operations, highlighting the necessity for photo-realistic simulation and adherence to physical laws. They announce the development of the world's first industrial AI cloud in Europe, designed for real-time design, simulation, and robotic learning. The ecosystem supports the digital twin revolution and the AI-driven future of robotics, with Nvidia providing the AI supercomputers for both Omniverse digital twins and robotics, emphasizing safety and high-performance requirements.

Nvidia Drive, leveraging the Halo safety system, enables the construction of safe autonomous vehicles (AVs) through diverse software stacks, sensors, and redundant computers. Utilizing Nvidia Omniverse and Cosmos, developers generate realistic synthetic training data to address real-world edge cases, enhancing AV models' ability to perceive, reason, and make safe decisions. An independent classical stack monitors performance, calling for emergency stops when necessary, while redundant sensors and computers ensure operational safety even in case of failures. In critical situations, the system executes minimum risk maneuvers, such as pulling over, to maintain safety.

As of June 11, 2025, the future of autonomous driving and humanoid robotics is poised for a significant transformation powered by AI. With a focus on safety, companies are developing software-defined AI-driven systems for autonomous vehicles, marking a decade of progress in the field. Similarly, advancements in AI are enabling the generation of video from prompts, leading to the potential for humanoid robots with advanced motion and articulation abilities, promising to create one of the largest industries ever, particularly in European countries known for their manufacturing prowess.

Discussing the hindrance of widespread robot deployment due to complexity and cost, the dialogue highlights the current limitation to large corporations. It introduces a solution through humanid AI, emphasizing simple teaching toolkits and the development of advanced robotic computers like Thor, aimed at making robotics accessible to smaller businesses and entities.

The dialogue discusses the development of human robotics, focusing on the Thor processor and the challenge of acquiring training data. This issue is addressed through Omniverse, a digital twin world that simulates physics for AI training. Partnerships with Disney Research and DeepMind aim to create advanced physics simulations for robotics learning.

Through extensive training in varied virtual scenarios, the individual develops physical movement skills that seamlessly translate to real-world environments, showcasing the effectiveness of virtual reality in skill acquisition.

The keynote presenter instructs a robot to behave, suggests taking a group photo, humorously invites the robot home, acknowledges its intelligence, and envisions a future where such robots are commonplace, albeit lacking physical capabilities to serve drinks.

An industrial revolution driven by AI is underway, highlighted by advancements in robotics and the creation of Blackwell, a machine designed for reasoning. The demand for inference workloads is exponentially increasing, leading to the establishment of AI factories focused on generating tokens. Europe is significantly expanding its AI infrastructure, demonstrating a strong commitment to the AI sector.