Group 1 - Google has appointed Amin Vahdat as chief technologist for AI infrastructure, a newly created position reporting directly to CEO Sundar Pichai, highlighting the importance of AI infrastructure as the company plans to invest up to $93 billion in capital expenditures by the end of 2025 [1] - Vahdat has extensive experience in AI, having worked at Google for 15 years and previously held academic positions at Duke University and UC San Diego, with around 395 published papers focused on efficient computing at scale [2] - At Google Cloud Next, Vahdat showcased the seventh-generation TPU, Ironwood, which features over 9,000 chips per pod delivering 42.5 exaflops of compute, indicating a significant increase in demand for AI compute by a factor of 100 million in just eight years [3] Group 2 - Vahdat has been instrumental in developing custom TPU chips for AI training and inference, which provide Google a competitive edge over rivals like OpenAI, and has also worked on the Jupiter network, which can scale to 13 petabits per second, enough to support video calls for all 8 billion people on Earth simultaneously [4] - He has played a key role in the development of the Borg software system for cluster management across Google's data centers and oversaw the creation of Axion, Google's first custom Arm-based general-purpose CPUs for data centers [4]