Overview: GPUs provide the flexibility and computing power needed to train large AI models, while TPUs optimize tensor-heavy ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Use left and right arrow keys to seek audio. Google recently announced at its I/O event its sixth tensor processing unit (TPU) called Trillium, and according to the company the new processor is ...

There are central processing units (CPUs), graphics processing units (GPUs) and even data processing units (DPUs) – all of which are well-known and commonplace now. GPUs in particular have seen a ...

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven ...

Google has formally announced the Tensor G3, the chipset that powers the Pixel 8 and Pixel 8 Pro. While the new chip brings notable improvements in all areas, it places more emphasis on AI performance ...

Google reached a settlement on Wednesday in a patent infringement lawsuit over the TPU chips powering its artificial intelligence (AI) technology, just hours before closing arguments were set to begin ...

The upcoming Tensor G3 has a major upgrade in its CPU block. It is completely redesigned and uses the latest 2022 ARMv9 cores. Google is moving away from the previous generation’s 4+2+2 core setup and ...