Google released TPU v8 chips to accelerate large-scale model training. These processors optimize energy efficiency and throughput for next-generation LLMs. Meanwhile, Tesla is building a dedicated research fab to iterate on silicon. These hardware pivots reduce reliance on third-party vendors and lower the cost of compute for practitioners.