Google has announced Trillium, its sixth-generation Tensor Processing Unit (TPU), designed specifically for training large-scale generative AI models. Compared to the prior generation Cloud TPU v5p, Trillium offers up to 1.8x better performance-per-dollar and an impressive 99% scaling efficiency. Google focused on improving convergence scaling efficiency, which measures how effectively additional computing resources accelerate the training process to completion. Benchmark results show Trillium achieves comparable convergence scaling efficiency to Cloud TPU v5p at a lower cost. Trillium provides a cost-effective solution for training generative AI models, enabling organizations to develop more powerful and efficient models.