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In a keynote address ahead of the COMPUTEX technology conference in Taipei, NVIDIA founder and CEO Jensen Huang highlighted the transformative potential of generative AI and accelerated computing. According to the NVIDIA Blog<\/a>, Huang emphasized that the convergence of AI and accelerated computing is poised to redefine the future.<\/p>\n Huang addressed an audience of over 6,500 industry leaders, press, entrepreneurs, gamers, creators, and AI enthusiasts at the National Taiwan University Sports Center. Clad in his signature black leather jacket, Huang stated, \u201cThe intersection of AI and accelerated computing is set to redefine the future.\u201d<\/p>\n During his presentation, Huang unveiled a roadmap for new semiconductors set to be released annually. The forthcoming Rubin platform will feature new GPUs, an Arm-based CPU named Vera, and advanced networking components including NVLink 6 and CX9 SuperNIC.<\/p>\n \u201cOur company has a one-year rhythm. Our basic philosophy is very simple: build the entire data center scale, disaggregate, and sell to you parts on a one-year rhythm, and push everything to technology limits,\u201d Huang explained.<\/p>\n Huang also discussed the sustainability of accelerated computing, emphasizing that combining GPUs and CPUs can deliver up to a 100x speedup while only tripling power consumption. \u201cThe more you buy, the more you save,\u201d he noted, highlighting significant cost and energy savings.<\/p>\n Leading computer manufacturers, particularly from Taiwan, are adopting NVIDIA GPUs and networking solutions to build AI systems. Companies including ASRock Rack, ASUS, GIGABYTE, Pegatron, and Supermicro are creating cloud, on-premises, and edge AI systems using NVIDIA\u2019s technologies.<\/p>\n The NVIDIA MGX modular reference design platform now supports the Blackwell architecture, optimized for large language model inference and data processing. AMD and Intel are also supporting the MGX architecture with their CPU host processor designs.<\/p>\n In networking, Huang announced the annual release of Spectrum-X products, designed to meet the growing demand for high-performance Ethernet networking for AI. NVIDIA Spectrum-X enhances network performance by 1.6x over traditional Ethernet fabrics.<\/p>\n CoreWeave, GMO Internet Group, and other AI cloud service providers are among the first to embrace Spectrum-X for their AI infrastructures.<\/p>\n With NVIDIA NIM, developers can now easily create generative AI applications. NIM provides models as optimized containers that can be deployed on clouds, data centers, or workstations. Nearly 200 technology partners are integrating NIM into their platforms to speed generative AI deployments.<\/p>\n \u201cToday we just posted up in Hugging Face the Llama 3 fully optimized,\u201d Huang said. \u201cYou can run it in the cloud, download this container, put it into your own data center, and make it available for your customers.\u201d<\/p>\n NVIDIA\u2019s 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 NIM inference microservices for the NVIDIA ACE digital human platform underscore NVIDIA\u2019s commitment to AI accessibility.<\/p>\n\u2018One-Year Rhythm\u2019<\/h2>\n
\u2018Accelerated Computing Is Sustainable Computing\u2019<\/h2>\n
Industry Joins NVIDIA to Build AI Factories<\/h2>\n
Next-Generation Networking with Spectrum-X<\/h2>\n
NVIDIA NIM to Transform Millions Into Gen AI Developers<\/h2>\n
NVIDIA Brings AI Assistants to Life With GeForce RTX AI PCs<\/h2>\n