Summary of Conference Call Notes Industry Overview - The conference call primarily discusses the **cloud service provider (CSP)** industry and advancements in **AI connectivity** technology. Key Points and Arguments CSP Capital Expenditure - **Overseas CSP capital expenditure** is better than market expectations, with the top four CSPs spending a total of **$71.1 billion** in Q1 2025, representing a **59% year-over-year increase** [1] - Individual expenditures include: - **Microsoft**: **$15.8 billion**, up **59%** - **Google**: **$17.2 billion**, up **43%** - **Amazon**: **$24.3 billion**, up **62%** - **Meta**: **$12.9 billion**, up **93%** [1] - Meta has raised its full-year capital expenditure plan for 2025 to a range of **$64 billion to $72 billion**, up from the previous estimate of **$60 billion to $65 billion** [1] - According to Bloomberg, the capital expenditure growth rate for these four CSPs is projected to reach **40%** in 2025 [1] AI Connectivity Breakthroughs - **Huawei** has launched the **CloudMatrix 384**, which consists of **384 Ascend 910C computing cards**, making it the largest single-node scale among currently commercialized supernodes [1] - The **DeepSeek-R1** service, based on the CloudMatrix 384 supernode, has been officially launched in collaboration with **Silicon-based Flow** and **Huawei Cloud**. It guarantees a single-user throughput of **20 TPS** while achieving a decoding throughput of **1920 Tokens/s**, comparable to the performance of **H100 deployments** [2] Valuation and Investment Opportunities - The **computing power industry chain** is viewed as having a favorable valuation with potential for recovery. Companies mentioned include: - **New Yisheng** - **Zhongji Xuchuang** - **Tianfu Communication** - **Taicheng Technology** - **Bochuang Technology** - **Yingweike** - **Chunzhong Technology** - **Huafeng Technology** - **Oulutong** - **Yihua Co.** - **Unisplendour** - **Shenling Environment** - **Gaolan Co.** - **Yingweike** - **Guanghuan New Network** - **Runze Technology** [3] Risk Factors - A key risk highlighted is the potential for **AI application development** to fall short of expectations [4]