Architecting with Google Trillium TPUs: Leveraging 4.7x Peak Compute for Scalable AI Workloads
By transitioning workloads from TPU v5e to Trillium (v6), engineers can achieve a 4.7x increase in peak compute per chip and 2x HBM bandwidth, but must refactor embedding layers to fully utilize the specialized third-generation SparseCore for recommendation-heavy models.