Core Insights - Nvidia is shifting the AI computing competition focus from training to inference, with plans to unveil a new inference chip integrated with Groq's LPU technology at the upcoming GTC developer conference [1] - OpenAI has agreed to become a major customer for Nvidia's new processor, indicating a strong demand for dedicated inference capacity [1] - The report from Shenwan Hongyuan highlights four key trends in inference computing: increased deployment of pure CPU scenarios, the rise of specialized architectures like LPU, accelerated breakthroughs in domestic computing chips, and a shift in demand structure towards mass token consumption [2] Inference Demand Explosion - The demand for inference has surged, driven by the monetization of large models and the rapid deployment of agents in real-world applications, requiring substantial inference computing power [3] - Data shows a significant increase in inference volume during the Chinese New Year, with major models reaching record token consumption [3] LPU's Emergence - Nvidia's acquisition of Groq's core technology for $20 billion signifies the growing importance of pure inference chips, with LPU architecture offering efficiency advantages in inference scenarios [6] - The future AI chip landscape is expected to differentiate between training and inference, with training continuing to use GPU-HBM combinations while inference evolves towards ASIC+LPU-SRAM+SSD configurations [6] System-Level Innovations - The upgrade in inference computing also involves a shift from single chips to system-level innovations, with a three-layer network architecture emerging to meet the demands of low latency and high throughput [7] - Nvidia is expanding its collaboration with Meta Platforms to support large-scale pure CPU deployments, moving beyond a single GPU sales model [7] Domestic Chip Breakthroughs - Domestic inference chips are experiencing significant technological upgrades, with new designs supporting low-precision data formats and enhanced interconnect bandwidth [9] - The supply chain for domestic chips is also improving, as evidenced by the rapid growth in revenue from high-performance computing chip packaging services [9]

Investment Rating - The industry rating is "Outperform the Market" [6][20]. Core Insights - The report emphasizes the acceleration of the end-cloud flywheel driven by the iteration of AI models, highlighting that the marketing of domestic AI large models has significantly increased user scale and call frequency since the beginning of the year [2]. - The demand for cloud computing power is driven by user scale, call frequency, and complexity of tasks, leading to a feedback loop that enhances model upgrades and increases cloud computing demand [2]. - The market for end-side AI products, such as AI glasses and intelligent robots, is rapidly evolving, with significant unmet demand for capable AI agents, suggesting new market opportunities [2][3]. - The upcoming release of the Qianwen AI glasses and other AI products is expected to drive growth in the AI glasses industry, with global shipments projected to exceed 23.687 million units by 2026 [3]. - The NVIDIA GTC conference is anticipated to showcase advancements in AI technology, with a focus on inference computing, indicating a growing demand in the computing power supply chain [4]. Summary by Sections Cloud Computing Power - The report outlines that the demand for cloud computing power is a function of user scale, call frequency, and task complexity, which has been positively impacted by the marketing of AI large models [2]. End-Side AI Products - The report notes the emergence of various end-side AI products and the public's expectation for intelligent AI agents, indicating a significant market opportunity that remains largely unmet [2]. AI Glasses Market - The report highlights the upcoming launch of Qianwen AI glasses and predicts a significant growth trajectory for the smart glasses market, with expected shipments in China to surpass 4.915 million units by 2026 [3]. Computing Power Supply Chain - The report mentions the upcoming NVIDIA GTC conference, which is expected to present new developments in AI technology and computing power solutions, reinforcing the positive outlook for the computing power supply chain [4].

Group 1: Precious Metals - International gold prices stabilized above $4500 per ounce and reached a historical high, but experienced a slight decline as some investors took profits [1][6] - Silver prices continued to rise, marking a historical high for the fourth consecutive trading day, closing at $71.685 per ounce with a gain of 0.77% [8] - Analysts noted that the rapid increase in silver prices included a significant amount of speculative positions, warning investors of the potential for a sharp short-term correction [8] Group 2: Stock Market - On October 24, the three major U.S. stock indices collectively rose, with the Dow Jones and S&P 500 reaching record closing highs [2][4] - The VIX, which reflects market expectations of future volatility, fell to a one-year low, indicating reduced investor concern about short-term risk events [4] - The market anticipates at least two interest rate cuts by the Federal Reserve next year, which has positively impacted cyclical stocks in real estate and finance [4] Group 3: Oil Market - Despite a higher-than-expected economic growth rate in the U.S. for Q3, oil prices experienced a slight decline due to cautious investor sentiment regarding U.S. oil consumption demand [10] - Light crude oil futures closed at $58.35 per barrel, down 0.05%, while Brent crude oil futures settled at $62.24 per barrel, down 0.22% [10] Group 4: Company News - Nvidia has reached a non-exclusive licensing agreement with AI chip design startup Groq, rather than acquiring the company for approximately $20 billion [12] - Key founders and executives from Groq, who were previously involved in the development of Google's TPU, will join Nvidia to enhance its AI inference chip business and reduce chip computing costs [12] - Nvidia's stock experienced a slight decline of 0.32% following the announcement [12]