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 ...

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 ...

Google is ready to open up its Cloud TPU platform to developers and researchers looking to test machine learning workloads -- and it's got a new, more powerful Cloud TPU design than the chips we've ...

Google Project Suncatcher is a new research moonshot to one day scale machine learning in space. Working backward from this potential future, they are exploring how an interconnected network of ...

The Pixel 10 series is powered by the Tensor G5, Google’s biggest upgrade to its custom silicon. Google touts deeper customization, starting with how it’s manufactured by TSMC on the latest 3nm ...

Will Google’s TPU (Tensor Processing Unit) emerge as a rival to NVIDIA’s GPU (Graphics Processing Unit)? Last month, Google announced its new AI model ‘Gemini 3,’ stating, “We used our self-developed ...

For the past five years, Google Pixel phones have been powered by an in-house system-on-a-chip (SoC) designed by Google. The company's chips have come a long way since then, culminating in the Tensor ...

A team of Google researchers have shared a plan for building a machine learning system in space. The AI processing hardware would consist of a network of satellites in low Earth orbit, potentially ...