直击北美AI前线-一线调研反馈及GTC-OFC前瞻

Summary of Conference Call Notes Industry Overview - The focus is on the AI hardware sector, particularly in North America, with key players including Celestica, Cisco, and Coherent. The demand for AI hardware is expected to remain strong through 2027-2028 due to corporate AI token allocations and established payment habits [1][3][4]. Key Insights and Arguments - AI Hardware Demand: Companies like Celestica and Cisco have seen significant increases in AI-related orders, with Cisco's orders tripling in the past six months. Celestica has revised its capital expenditure plans based on clear order visibility from 2026 to 2028 [3][4]. - Supply Chain Dynamics: The supply chain bottlenecks have shifted from GPUs to components like memory, power, and liquid cooling systems. Major cloud service providers (CSPs) are actively securing resources to mitigate risks from potential shortages [3][4]. - Market Trends: The Scale Up and Scale Across scenarios are identified as significant growth areas for AI hardware, with expectations for explosive demand for network hardware, including optical devices and switches [5][6]. - CPO Technology: Co-Packaged Optics (CPO) is viewed as a long-term trend, but its adoption in Scale Out scenarios is slower than anticipated due to supply chain integration challenges. In contrast, CPO is expected to see more urgent application in Scale Up scenarios [6][9]. - OCS Positioning: Optical Circuit Switches (OCS) are transitioning from custom tools for specific cloud vendors to potentially universal components in AI data centers. However, traditional switch manufacturers view OCS as complementary rather than a replacement for Ethernet switches [9][10]. Additional Important Points - Investment Opportunities: The current recommendation for the communication sector ranks light communication, AI custom chips, liquid cooling, and switches. The growth in light communication is driven by the rollout of 800G and 1.6T optical modules, while AI custom chips are expected to see increased demand from companies like Google [21]. - Celestica's Growth Drivers: Celestica is expanding its capacity in the U.S. and Thailand, with new capacity expected to come online in late 2026. The company anticipates significant revenue potential from cloud-native customers like OpenAI [18][19]. - Arista's Competitive Edge: Arista believes its experience in DCI gives it an advantage in Scale Across networks, outperforming competitors in latency, congestion, and load balancing [14]. - NVIDIA's GTC 2026 Expectations: Anticipated announcements include the introduction of new architectures and products, particularly focusing on the integration of LPU (Linear Processing Unit) with GPU systems [22][23][24]. This summary encapsulates the key points from the conference call, highlighting the dynamics within the AI hardware industry and the strategic positions of leading companies.