NVIDIA CEO Jensen Huang Unveils Roadmap for AI-Powered Future at COMPUTEX

Updated: June 04 2024 21:07
NVIDIA CEO Jensen Huang delivered a captivating keynote speech at Computex 2024 in Taiwan, unveiling the company's vision for the future of artificial intelligence (AI) and its transformative impact on various industries. Huang's presentation emphasized the intersection of AI and accelerated computing, revealed a roadmap for new semiconductors, software, and systems that will drive innovation and growth across various industries.




Huang announced that NVIDIA will release new semiconductors on a one-year rhythm, with the upcoming Rubin platform succeeding the Blackwell platform. The Rubin platform will feature new GPUs, a new Arm-based CPU called Vera, and advanced networking capabilities. This commitment to a one-year rhythm ensures that NVIDIA consistently pushes the boundaries of technology and delivers cutting-edge solutions to its customers.


Huang stressed the importance of accelerated computing as a sustainable approach to turning data into intelligence. By combining GPUs and CPUs, NVIDIA's solutions can deliver up to a 100x speedup while only increasing power consumption by a factor of three, resulting in 25x more performance per Watt compared to CPUs alone. This approach offers significant cost and energy savings, making it an attractive choice for businesses looking to optimize their computing infrastructure.




Leading computer manufacturers, particularly those based in Taiwan, have embraced NVIDIA's GPUs and networking solutions to create cloud, on-premises, and edge AI systems. The NVIDIA MGX modular reference design platform now supports Blackwell, and AMD and Intel are supporting the MGX architecture with plans to deliver their own CPU host processor module designs. This widespread adoption of NVIDIA's technology is powering a new industrial revolution, with AI factories becoming increasingly prevalent.


To cater to the growing demand for high-performance Ethernet networking for AI, Huang unveiled plans for the annual release of Spectrum-X products. NVIDIA Spectrum-X, the first Ethernet fabric built for AI, enhances network performance by 1.6x more than traditional Ethernet fabrics, accelerating the processing, analysis, and execution of AI workloads. Several AI cloud service providers have already embraced Spectrum-X to bring extreme networking performance to their AI infrastructures.




NVIDIA NIM (inference microservices) enables the world's 28 million developers to easily create generative AI applications. NIM provides models as optimized containers that can be deployed on clouds, data centers, or workstations, allowing enterprises to maximize their infrastructure investments. Nearly 200 technology partners are integrating NIM into their platforms to speed up generative AI deployments for domain-specific applications.


NVIDIA's RTX AI PCs, powered by RTX technologies, are set to revolutionize consumer experiences with over 200 RTX AI laptops and more than 500 AI-powered apps and games. The RTX AI Toolkit and PC-based NIM inference microservices for the NVIDIA ACE digital human platform demonstrate NVIDIA's commitment to making AI accessible to consumers. Project G-Assist, an RTX-powered AI assistant technology demo, showcases context-aware assistance for PC games and apps.



NVIDIA is leading the $50 trillion industrial digitization shift, with sectors embracing autonomous operations and digital twins. Taiwanese manufacturers are transforming their factories using NVIDIA's technology, combining vision AI and robot development tools for enhanced robotic facilities. The NVIDIA Isaac platform provides a robust toolkit for developers to build AI robots, powered by AI models and supercomputers like Jetson Orin and Thor.


Global electronics giants are integrating NVIDIA's autonomous robotics into their factories, leveraging simulation in Omniverse to test and validate this new wave of AI for the physical world. NVIDIA Isaac is boosting factory and warehouse efficiency, with global leaders adopting its advanced libraries and AI models.




Huang concluded his keynote by paying tribute to Taiwan and NVIDIA's many partners in the region. With a strong commitment to innovation, sustainability, and empowering developers, NVIDIA is poised to lead the AI-powered future, transforming industries and opening new opportunities for growth and advancement.