Nvidia(US:NVDA) HTSC·2025-05-21 04:30Investment Rating - The industry rating is "Overweight" indicating that the industry stock index is expected to outperform the benchmark [6]. Core Insights - The report highlights the emergence of an open interconnected ecosystem led by the deployment of AI at the edge, which is expected to accelerate productivity transformation in AI [1]. - The introduction of the NVLink Fusion platform allows integration with third-party CPUs and AI chips, signaling a shift towards an open ecosystem and potentially increasing NVIDIA's market share in data centers [3]. - The establishment of AI factories, which are essential for producing AI tokens, is seen as a significant infrastructure development, with NVIDIA collaborating with major companies to enhance AI capabilities [2]. Summary by Sections Section 1: AI Deployment and Ecosystem - NVIDIA's CEO emphasized the importance of AI infrastructure in driving an industrial revolution, with new products like DGX Spark and RTX PRO servers catering to both individual developers and enterprise clients [1][4]. - The collaboration with Foxconn and TSMC to build an AI supercomputer in Taiwan, equipped with 10,000 Blackwell chips, showcases NVIDIA's commitment to expanding its AI infrastructure [1]. Section 2: AI Factory and Tokens - The concept of AI Factory is introduced as a smart factory for producing AI tokens, which are models that generate ongoing value through inference services [2]. - The report suggests that companies with efficient AI factories will possess future "digital productivity," marking a significant productivity transformation driven by AI [2]. Section 3: Product Launches - The DGX Spark, set to launch in July 2025, will offer 1 Petaflop of AI computing power and 128GB of unified memory, while the DGX Station will provide 20 Petaflops and 784GB of memory [4]. - The RTX PRO server will support up to eight RTX PRO 6000 Blackwell GPUs, enhancing enterprise-level AI workloads [4]. Section 4: Robotics and AI Models - NVIDIA updated its open-source platform for humanoid robots, Isaac GR00T N1.5, which can generate synthetic motion data for training robots [5]. - The AI-Q Blueprint connects enterprise data with inference systems, significantly speeding up data retrieval on NVIDIA GPUs [5].