Google's new TPU v8 chips target massive scale for next-generation model training. These accelerators optimize energy efficiency and throughput to lower the cost of compute. Meanwhile, Tesla is building a dedicated research fab for AI silicon. These hardware pivots aim to reduce reliance on external chip suppliers as model demands surge.