Core Viewpoint - The introduction of Rubin CPX by Nvidia is expected to significantly innovate in PCB, connectors, and cooling architectures, potentially expanding the hardware market size, with the AI PCB market projected to reach $6.96 billion in 2027, a 142% increase from 2026 [2][5][32]. Group 1: Rubin CPX Innovations - Rubin CPX is designed for ultra-long context AI inference tasks, featuring a decoupled inference architecture that separates computation-intensive context processing from memory bandwidth-intensive generation stages, enhancing efficiency and performance [4][7]. - The GPU provides 30 Peta FLOPS of computing performance at NV FP4 precision and is equipped with 128GB GDDR7 memory, achieving a memory bandwidth of 2 TB/s, which offers a cost-effective solution compared to HBM [11][20]. - The hardware changes include a modular design for the tray architecture, liquid cooling upgrades, and a wireless cable structure, which collectively improve thermal management and connectivity [20][23]. Group 2: Market Impact and Projections - The estimated value of a single VR200 NVL144 cabinet PCB is approximately 456,000 yuan, with a single GPU corresponding to a PCB value of 6,333 yuan ($880), reflecting a 113% increase compared to the GB300 [5][28]. - The projected shipment volumes for 2027 are 10,000 racks across various models, leading to a total PCB market size of $6.96 billion, indicating a substantial growth trajectory for the AI PCB market [5][32]. - The anticipated PCB market sizes for 2025 and 2026 are $1.53 billion and $2.64 billion, respectively, highlighting the significant growth expected with the introduction of Rubin CPX [32].

Core Insights - The Rubin CPX GPU, designed by Nvidia for ultra-long context AI inference tasks, features an innovative decoupled inference architecture, significantly enhancing hardware efficiency and cost balance [1][2] Hardware Innovations - The Rubin CPX introduces substantial changes in hardware, including a modular tray design with four sub-cards, upgraded cooling from air to liquid, and a wireless cable architecture for connectors and PCBs [2] - The GPU offers 30 Peta FLOPS of computing performance at NV FP4 precision, equipped with 128GB GDDR7 memory and a memory bandwidth of 2TB/s [1] Market Potential - The PCB market for Nvidia's AI products is projected to reach $6.96 billion by 2027, representing a 142% increase from 2026, driven by the expected shipment of 100,000 racks across various models [3] - The value of a single VR200NVL144 cabinet PCB is estimated at approximately 456,000 yuan, with a single GPU corresponding to a PCB value of 6,333 yuan (880 USD), reflecting a 113% increase compared to the GB300 model [3] Related Companies - Relevant companies in the supply chain include Shengyi Technology (生益科技), Shenzhen South Circuit (深南电路), Xingsen Technology (兴森科技), and others, indicating a broad industry impact [4]