Core Viewpoint - Meta is ambitiously developing its own custom chips, including processors designed to train future artificial intelligence models [2][3] Group 1: Custom Chip Development - Meta's self-developed chips are currently deployed mainly in ranking and recommendation workloads, with plans to expand their use to AI model training over time [2][3] - The company positions itself as one of the large-scale operators of data centers for training and running AI models, despite not being a cloud service provider [4] Group 2: Procurement Strategy - Meta has established large-scale procurement agreements with chip market leaders NVIDIA and AMD to support the chip and equipment supply needed for AI workloads [4] - The company emphasizes a differentiated chip procurement strategy, selecting the most suitable processors for different application scenarios [5] - Analysis suggests that Meta is not replacing externally sourced chips with self-developed ones but is instead building a hybrid supply system, where external procurement meets current scaling needs while self-developed chips optimize highly customized internal workloads to enhance efficiency and control long-term costs [6]