英特尔，叫板博通

Core Insights - Intel's AI strategy is focusing on two main areas: ASIC and edge AI, aiming to regain competitiveness in the AI sector where it lags behind Nvidia and AMD [2][4] - The establishment of the Central Engineering Group (CEG) is intended to consolidate engineering talent and enhance the company's capabilities in ASIC and design services [4][5] Group 1: AI Strategy and Market Position - Intel has acknowledged its shortcomings in AI strategy, with former CEO Pat Gelsinger admitting that the company's approach has not been satisfactory [2] - The company is developing a power-optimized GPU for inference as part of its edge AI strategy, with products like Meteor Lake and Lunar Lake aimed at enhancing mobile SoC performance [2][3] - Intel's new ASIC department, led by Srini Iyengar, aims to provide customized chips for specific workloads, competing with established solutions like Google's TPU and Amazon's Trainium [3][4] Group 2: ASIC Business Development - The ASIC business is expected to play a crucial role in Intel's operations, with plans to offer a "one-stop" solution for customers seeking custom AI chips [4][6] - Intel's CEG will lead the development of ASIC and design services, expanding the application of its core x86 IP and leveraging its design advantages [5][6] - The company aims to differentiate itself by providing internal foundry services, which is a unique offering compared to competitors like Broadcom and Marvell [6][7] Group 3: Future Prospects and Challenges - If executed effectively, the custom chip business could become a significant revenue stream for Intel, positioning it as a system foundry responsible for every supply chain segment [7] - The competitive landscape in the AI market is intense, with companies like Broadcom continuously evolving, posing challenges for Intel to capitalize on this opportunity [7]