Core Viewpoint - Google is developing its own Tensor Processing Unit (TPU) chips, which are expected to be adopted in large quantities by Meta, potentially threatening Nvidia's dominance in the AI chip market [1]. Group 1: Google and Meta Collaboration - Google is in talks with Meta for a potential chip supply deal valued at several billion dollars, which would help Meta reduce its reliance on Nvidia as a single supplier [1]. Group 2: TPU vs. GPU Technology - TPUs and GPUs serve different roles in AI computing; GPUs were originally designed for gaming graphics but have become mainstream for AI model training due to their parallel processing capabilities, while TPUs are Application-Specific Integrated Circuits (ASICs) designed specifically for accelerating neural network computations [3]. - TPUs sacrifice generality for efficiency in specific AI tasks, whereas Nvidia emphasizes that its GPUs are versatile and capable of running all AI models across various computing scenarios [3].