{"id":37574,"date":"2024-06-03T08:58:38","date_gmt":"2024-06-03T07:58:38","guid":{"rendered":"https:\/\/www.intelligentcio.com\/north-america\/?p=37574"},"modified":"2024-06-03T08:58:40","modified_gmt":"2024-06-03T07:58:40","slug":"accelerate-everything-nvidia-ceo-says-ahead-of-computex","status":"publish","type":"post","link":"https:\/\/www.intelligentcio.com\/north-america\/2024\/06\/03\/accelerate-everything-nvidia-ceo-says-ahead-of-computex\/","title":{"rendered":"\u2018Accelerate Everything\u2019 NVIDIA CEO says ahead of COMPUTEX"},"content":{"rendered":"\n

Emphasizing cost reduction and sustainability, Jensen Huang detailed new semiconductors, software and systems to power data centers, factories, consumer devices, robots and more, driving a new industrial revolution.<\/em><\/strong><\/p>\n\n\n\n

\u201cGenerative AI is reshaping industries and opening new opportunities for innovation and growth,\u201d NVIDIA founder and CEO Jensen Huang said in an address ahead of this week\u2019s COMPUTEX technology conference in Taipei.<\/p>\n\n\n\n

\u201cToday, we\u2019re at the cusp of a major shift in computing,\u201d Huang told the audience, clad in his trademark black leather jacket. \u201cThe intersection of AI and accelerated computing is set to redefine the future.\u201d<\/p>\n\n\n\n

Huang spoke ahead of one of the world\u2019s premier technology conferences to an audience of more than 6,500 industry leaders, press, entrepreneurs, gamers, creators and AI enthusiasts gathered at the glass-domed National Taiwan University Sports Center, Taipei.<\/p>\n\n\n\n

The theme: NVIDIA accelerated platforms are in full production, whether through AI PCs and consumer devices featuring a host of NVIDIA RTX-powered capabilities or enterprises building and deploying AI factories with NVIDIA\u2019s full-stack computing platform.<\/p>\n\n\n\n

\u201cThe future of computing is accelerated,\u201d Huang said. \u201cWith our innovations in AI and accelerated computing, we\u2019re pushing the boundaries of what\u2019s possible and driving the next wave of technological advancement.\u201d<\/p>\n\n\n\n

Huang revealed a roadmap for new semiconductors that will arrive on a one-year rhythm.<\/p>\n\n\n\n

Outlined for the first time, the Rubin platform will succeed the upcoming Blackwell platform, featuring new GPUs, a new Arm-based CPU – Vera – and advanced networking with NVLink 6, CX9 SuperNIC and the X1600 converged InfiniBand\/Ethernet switch.<\/p>\n\n\n\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 said.<\/p>\n\n\n\n

NVIDIA\u2019s creative team used AI tools from members of the NVIDIA Inception startup program, built on NVIDIA NIM and NVIDIA\u2019s accelerated computing, to create the COMPUTEX keynote.<\/p>\n\n\n\n

Packed with demos, this showcase highlighted these innovative tools and the transformative impact of NVIDIA\u2019s technology.<\/p>\n\n\n\n

NVIDIA is driving down the cost of turning data into intelligence, Huang explained as he began his talk.<\/p>\n\n\n\n

\u201cAccelerated computing is sustainable computing,\u201d he said, outlining how the combination of GPUs and CPUs can deliver up to a 100x speedup while only increasing power consumption by a factor of three, achieving 25x more performance per Watt over CPUs alone.<\/p>\n\n\n\n

\u201cThe more you buy, the more you save,\u201d Huang noted, highlighting this approach\u2019s significant cost and energy savings.<\/p>\n\n\n\n

Leading computer manufacturers, particularly from Taiwan, have embraced NVIDIA GPUs and networking solutions. Top companies include ASRock Rack, ASUS, GIGABYTE, Ingrasys, Inventec, Pegatron, QCT, Supermicro, Wistron and Wiwynn, which are creating cloud, on-premise and edge AI systems.<\/p>\n\n\n\n

The NVIDIA MGX modular reference design platform now supports Blackwell, including the GB200 NVL2 platform, designed for optimal performance in large language model inference, retrieval-augmented generation and data processing.<\/p>\n\n\n\n

AMD and Intel are supporting the MGX architecture with plans to deliver, for the first time, their own CPU host processor module designs. Any server system builder can use these reference designs to save development time while ensuring consistency in design and performance.<\/p>\n\n\n\n

In networking, Huang unveiled plans for the annual release of Spectrum-X products to cater to the growing demand for high-performance Ethernet networking for AI.<\/p>\n\n\n\n

NVIDIA Spectrum-X, the first Ethernet fabric built for AI, enhances network performance by 1.6x more than traditional Ethernet fabrics. It accelerates the processing, analysis and execution of AI workloads and, in turn, the development and deployment of AI solutions.<\/p>\n\n\n\n

CoreWeave, GMO Internet Group, Lambda, Scaleway, STPX Global and Yotta are among the first AI cloud service providers embracing Spectrum-X to bring extreme networking performance to their AI infrastructures.<\/p>\n\n\n\n

The audience heard that nearly 200 technology partners are integrating NVIDIA NIM into their platforms to speed generative AI deployments for domain-specific applications, such as copilots, code assistants, digital human avatars and more.<\/p>\n\n\n\n

Other announcements included:<\/p>\n\n\n\n