SerDes，愈发重要

Core Viewpoint - The SerDes technology, which has been around for decades, is gaining significant attention in the semiconductor industry due to the increasing demands of artificial intelligence, particularly in data transfer speeds between GPUs [1][3][12]. Group 1: SerDes Technology Overview - SerDes, a combination of Serializer and Deserializer, simplifies data transmission by converting multiple parallel data streams into a single high-speed stream and then back again, akin to a high-speed train carrying goods instead of multiple trucks [3][9]. - The latest AI systems, such as NVIDIA's GB200 NVL72, can exchange approximately 130 TB of data per second, equivalent to streaming 6,000 to 10,000 two-hour Netflix 4K movies in one second [3][4]. Group 2: Market Growth and Investment - The global SerDes market is projected to grow from $745.3 million in 2024 to approximately $2 billion by 2032, with a compound annual growth rate of 13.45% [6]. - Major tech companies like Amazon, Microsoft, Google, and Meta are expected to increase their capital expenditures significantly, reaching $224.4 billion in 2024 and $315 billion in 2025, with a substantial portion directed towards SerDes-dependent components [6][12]. Group 3: Technical Challenges and Developments - The current mainstream 112G SerDes technology transmits data at 112 Gbps per lane, with the next generation 224G expected to be mass-produced by 2025-2026, achieving 1.6T Ethernet [9][10]. - The limitations of copper wires at high speeds necessitate the development of Co-Packaged Optics (CPO), which integrates optical modules directly next to chips to enhance data transmission distances [10][11]. Group 4: Competitive Landscape - The race for 224G mass production is critical, with companies like Synopsys, Cadence, and Marvell currently leading in providing stable solutions [11]. - The establishment of UALink by AMD, Intel, Google, and Meta poses a potential challenge to NVIDIA's NVLink, which is currently the standard for connecting AI accelerators [12][13]. Group 5: Future Outlook - As AI models scale and the need for faster data transfer increases, the importance of SerDes technology will continue to rise, making it a crucial factor in the competition for AI infrastructure [13].