Core Insights - Nvidia's CEO Jensen Huang highlighted significant advancements in AI infrastructure and technology during his keynote speech, including the introduction of the Rubin NVL144 platform and the Blackwell chip, which is expected to achieve total shipments of 20 million units [3][4]. Group 1: Revenue and Shipment Guidance - The revenue guidance for the B and R series exceeded expectations, with Blackwell showing explosive growth, having shipped 6 million units over the past four quarters and projected to reach 20 million units, five times the previous generation Hopper architecture [3]. - Blackwell and the upcoming Rubin chip, set to launch in 2026, are expected to contribute $500 billion in GPU sales over the next five quarters, indicating strong demand and potential for market expansion [3]. Group 2: Technological Breakthroughs - The Vera Rubin computing architecture features a fully cable-free and 100% liquid-cooled design, significantly enhancing performance, scalability, and hardware integration efficiency [4]. - The NVL144 platform achieves a peak FP4 inference performance of 3.6 Exaflops and FP8 training capability of 1.2 Exaflops, representing a 3.3 times improvement over the previous generation [4]. Group 3: Strategic Partnerships - Nvidia has partnered with Nokia to develop the Aerial RAN Computer platform, aiming to transform 6G networks and integrate AI capabilities, with a projected market size exceeding $200 billion by 2030 [5]. - Collaborations with Oracle and other companies in AI supercomputing and autonomous driving are set to enhance capabilities in various sectors, including pharmaceuticals and cloud computing [7][8]. Group 4: Quantum Computing Integration - The introduction of NVQLink technology enables seamless integration between quantum processors and GPU/CPU systems, facilitating quantum-classical collaborative computing [6]. - This technology has garnered support from 17 quantum computing companies and nine national laboratories under the U.S. Department of Energy, indicating strong industry backing [6]. Group 5: AI Factory and Infrastructure Development - Nvidia's BlueField-4 data processing unit supports AI factory infrastructure, with a throughput of 800 Gb/s and six times the computing power of its predecessor, enabling significant scaling of AI operations [8]. - The company is developing AI factories designed for high-efficiency token data generation, which are distinct from traditional data centers [45][48]. Group 6: Market Trends and Future Outlook - Nvidia anticipates a cumulative order size of $500 billion for the Blackwell series and Rubin early production orders by 2026, reflecting a robust growth trajectory [65]. - The company is positioned to lead in the AI era, with Blackwell serving as a key driver for future advancements in computing technology [66].
【招商电子】英伟达GTC华盛顿跟踪报告:Black-Rubin营收规模大超预期,VR内部结构持续升级