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AI Revolution Begins: Nvidia CEO Jensen Huang Declares a New Era

    Jensen Huang of Nvidia is revered in Taiwan. Unlike many tech titans who opt for chauffeured limousines to get around, he takes public transit – such as buses or taxis – whenever possible.

    He discussed his new AI-powered data center architecture, which can reduce bandwidth consumption by an order of magnitude. In addition, he spoke about lifelike “digital humans” and robots that master physical laws.

    The Age of AI Has Started

    Jensen Huang, Nvidia’s CEO, opened up this week’s GPU Technology Conference by sharing his vision of AI. Through a series of announcements in data centers, edge AI and collaboration tools – his message was clear – AI requires reimagining computing from all aspects: chips systems software algorithms ecosystems

    Huang gave an address in Hong Kong after receiving an honorary doctorate from the University of Science and Technology there, emphasizing the need for global tech collaboration despite potential US restrictions on exporting technology to China.

    Huang’s company is working with governments across the world to help them chart their own course into the future. Thailand was just the latest stop on an intensive tour this year to promote building national AI infrastructures using Nvidia chips; Enterprises can quickly set up state-of-the-art edge-AI servers using Nvidia EGX platform as well, said Huang.

    The Future of Robotics

    Nvidia is betting big on robotics with their Isaac platform of pretrained models, Omniverse virtual world and Jetson Thor AI-powered chips. While their language- and image-based AI has already proved successful, humanoid robots pose more of a challenge to them than previously anticipated.

    The GR00T humanoid robot platform requires advanced mechatronics, control theory and artificial intelligence (AI). Furthermore, it must learn natural language understanding as well as mimic human motion – this task would be impossible with just one chip, so Nvidia developed a three-computer solution specifically tailored for this field.

    NVIDIA’s Blackwell GPU boasts over 400 petaflops of AI performance. This is enough to run OpenAI GPT-4 twice as fast, yet consume 350x less energy. NVIDIA partnered with Arm, known for power-efficient designs used by smart devices, in order to bring this capability into mass market systems – this platform will enable humanoid robot manufacturers like 1X Technologies, Agility Robotics Apptronik Boston Dynamics Fourier Intelligence Figure AI Unitree Robotics create autonomous machines of tomorrow.

    The Future of Video Conferencing

    Jensen Huang, co-founder of Nvidia and a billionaire, bets on artificial intelligence to transform every facet of society. His company manufactures chips used for training generative models and supporting their heavy computational needs.

    Huang addressed 12,000 GTC attendees, as well as thousands more online viewers streaming live from SAP Center arena in San Jose. To kick-off his remarks he created a dramatic real-time data sculpture featuring wavelike swirls of green, blue and yellow colors crashing and twisting around on computer screens.

    He then discussed how some of the world’s leading corporations are employing generative AI to augment human creativity, and accelerated computing to reduce energy usage and save costs.

    BMW utilizes NVIDIA Omniverse to simulate their Regensburg plant to test out new workflows before implementing them in real-time at the factory. Meanwhile, Foxconn uses Isaac and Metropolis to increase industrial productivity by creating virtual twins of robot facilities which operate autonomously to improve production.

    The Future of Drug Discovery

    Technology used in videogames that are revolutionizing our world has also enabled more powerful computers with the potential to transform scientific discovery, manufacturing and energy industries, among many others. Intel chips are already powering self-driving cars as well as helping firms such as BMW plan and simulate workflow changes before implementing them into their factories.

    Nvidia envisions AI revolutionizing how the world works, yet this vision poses many challenges. Working alongside partners, Nvidia strives to ensure AI augments rather than replaces human capability – for instance through their partnership with Hippocratic AI which seeks to leverage NVIDIA GR00T robots computational strengths along with training in empathic communication to improve patient experiences and healthcare operations.

    However, it is important to keep in mind that human-like intelligence remains some way off. Meanwhile, NVIDIA’s generative AI microservices are helping pharmaceutical firms speed up drug discovery and enhance medical diagnosis.

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