On Wednesday at Google’s annual I/O developer conference in Mountain View, California, the company went forward and announced a revolutionary new processing accelerator unit for machine learning that ...
Google is in talks with Marvell Technology to develop two new chips aimed at running AI models more efficiently, according to ...
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 ...
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 ...
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AI start-up offers local alternative to Google’s TPU as China seeks to cut Nvidia reliance
Zhonghao Xinying was founded in 2018 by Yanggong Yifan, a Stanford and University of Michigan-trained electrical engineer Chinese AI chip start-up Zhonghao Xinying has emerged as a home-grown ...
Google has taken a big leap forward with the speed of its machine learning systems by creating its own custom chip that it’s been using for over a year. The company was rumored to have been designing ...
Recent reports suggest that Google has once again made engineering changes to its Tensor Processing Unit, or TPU, pushing the chip's tape-out to around mid-2026. The product in question—known as the ...
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