电子掘金 博通 AI ASIC 超预期，应关注哪些投资机遇？ 20250907 摘要 博通积压订单达 1,100 亿美元，主要由 AI 驱动，表明全球 AI 需求高景 气度延续至 2027 年，当前订单覆盖度已能看到 2027 年的需求，与光 模块行业及海外 CSP 企业数据中心建设规划相互印证。 博通新增第四家 AI 定制化芯片客户 OpenAI，订单金额达 100 亿美元， 预计 2026 财年交付，AI 收入增速显著高于此前指引 60%，表明新兴头 部企业对 AI 定制化芯片需求强劲，渗透率提升加速。 博通在 AI 网络产品方面持续创新，包括用于 scale out 网络的 Tomahawk 6、用于 scale up 网络的 Tomahawk Ultra 以及用于 scale across 网络的 JERICHO 4，适用于数据中心多种通信需求，AI 网络弹性有望超过 AI 基建平均增速。 ASTERLABS 的 PCIe Switch 产品线预计明年凭借亚马逊一家大客户实 现至少 10 亿美元收入规模，X 系列用于 Scale Up 网络，P 系列用于 Scale Out 网络，将在 2026 年成 ...

Investment Rating - The report provides a strong investment rating for Astera Labs, indicating an outperform expectation over the next 12-18 months [18]. Core Insights - Astera Labs achieved significant revenue growth in FY2Q25, with revenue reaching $191.9 million, a 150% year-over-year increase and a 20% quarter-over-quarter increase, driven by robust demand in AI infrastructure connectivity [6][1]. - The company's strategic focus on AI infrastructure and high-speed connectivity solutions is effectively materializing, with notable performance from its core product lines, particularly the Scorpio PCD switch series and PCIe 6.0 solutions [7][2]. - Astera Labs is positioned to capture a nearly $5 billion market opportunity in scale-up connectivity for AI infrastructure by 2030, supported by deep collaborations with industry giants like NVIDIA and AMD [8][3]. Summary by Sections Earnings Performance - In FY2Q25, Astera Labs reported a gross margin of 75.8% under GAAP, with operating income of $39.8 million and net income of $51.2 million, leading to a diluted EPS of $0.29. On a Non-GAAP basis, gross margin improved to 76.0%, with operating income rising to $75.2 million and net income reaching $78.0 million, resulting in a diluted EPS of $0.44 [6][1]. Product Lines and Strategic Positioning - The Scorpio PCD switch series has shown strong growth due to increasing demand for higher bandwidth and lower latency in data centers. Astera Labs has successfully leveraged its first-mover advantage in PCIe 6.0 solutions, becoming a significant player in the market [7][2]. - The company's integrated connectivity platform, combining chip, hardware, and software, effectively meets the stringent requirements of AI and machine learning workloads [8][3]. Future Outlook - For Q3 2025, Astera Labs projects revenue between $203 million and $210 million, indicating a sequential growth of 6% to 9%. The core growth drivers are expected to be the Scorpio X series and UA Link solutions, benefiting from the long-term trend of AI infrastructure development [9][4].

Core Viewpoint - Silicon Flow has successfully completed a multi-hundred million RMB Series A financing round, led by Alibaba Cloud, with significant participation from existing investors such as Innovation Works, and Huaxing Capital serving as the exclusive financial advisor [1] Group 1: Financing and Growth - The founder of Silicon Flow, Yuan Jinhui, emphasized the company's commitment to AI infrastructure, highlighting explosive business growth driven by the rise of open-source large models like Alibaba's Tongyi Qwen and DeepSeek, alongside a surge in AI inference computing demand [1] - The financing will be utilized to increase R&D investment and expand both domestic and international markets, aiming to become the preferred generative AI development platform for developers [1] Group 2: Technological Innovations - Silicon Flow has introduced a series of industry-leading technologies and products to address the high costs of AI computing power, including a high-performance inference engine that significantly enhances chip computing efficiency, marking a milestone in adapting domestic chips [2] - The company launched the DeepSeek-R1 & V3 services based on domestic computing power in February 2025, achieving user experience and cost-effectiveness comparable to international mainstream GPUs, validating the commercial viability of deploying large models on domestic computing power [2] Group 3: Product Development and Ecosystem - Silicon Flow has lowered the barriers for developers to use advanced AI models through product innovations, enhancing the efficiency of AI application development and fostering a thriving AI application ecosystem [4] - The SiliconCloud platform has rapidly become the fastest-growing third-party large model cloud service platform in China, surpassing 6 million total users and thousands of enterprise clients, generating over 100 billion tokens daily [4] Group 4: Workflow Solutions - The BizyAir platform, based on SiliconCloud, effectively addresses local computing bottlenecks by seamlessly integrating cloud GPU resources with local ComfyUI, receiving positive feedback from AI designers [6] - Silicon Flow has introduced various solutions, including API services, dedicated instances, software subscriptions, and integrated large model machines, successfully serving leading clients across multiple industries such as internet, finance, manufacturing, and entertainment [6] Group 5: Future Directions - The company plans to continue focusing on technological innovation in AI infrastructure, aiming to reduce the development and deployment barriers for developers and enterprises in AI applications [6] - Silicon Flow intends to collaborate with upstream and downstream partners to promote the deep application of AI technology, accelerating the intelligent upgrade across various industries [6]