Trillium TPU, built to power the future of AI
1,400To deliver the next frontier of models and enable you to do the same, we’re excited to announce Trillium, our sixth-generation TPU, the most performant and most energy-efficient TPU to date.
More than a decade ago, Google recognized the need for a first-of-its-kind chip for machine learning. In 2013, we began work on the world’s first purpose-built AI accelerator, TPU v1, followed by the first Cloud TPU in 2017. Without TPUs, many of Google’s most popular services — such as real-time voice search, photo object recognition, and interactive language translation, along with the state-of-the-art foundation models such as Gemini, Imagen, and Gemma — would not be possible.
Trillium TPUs achieve an impressive 4.7X increase in peak compute performance per chip compared to TPU v5e. We doubled the High Bandwidth Memory (HBM) capacity and bandwidth, and also doubled the Interchip Interconnect (ICI) bandwidth over TPU v5e. Additionally, Trillium is equipped with third-generation SparseCore, a specialized accelerator for processing ultra-large embeddings common in advanced ranking and recommendation workloads. Trillium TPUs make it possible to train the next wave of foundation models faster and serve those models with reduced latency and lower cost. Critically, our sixth-generation TPUs are also our most sustainable: Trillium TPUs are over 67% more energy-efficient than TPU v5e.
https://cloud.google.com/blog/products/compute/trillium-sixth-generation-tpu-is-in-preview