A custom-built chip for machine learning from Google. Introduced in 2016, the Tensor Processing Unit (TPU) runs software from Google's TensorFlow AI library. TPU circuits are designed to process ...

Google has been developing its own AI server chips for internal use and cloud services to reduce reliance on external ...

MediaTek is reportedly poised to replace Broadcom as Google's primary partner for developing its next-generation Tensor Processing Unit (TPU). While MediaTek has not commented on market ...

At its App Dev & Infrastructure Summit, the company announced its sixth-generation Tensor Processing Unit (TPU), Trillium, is now available to Google Cloud customers in preview. First announced in ...

The five-nanometer Tensor chip has an 8-core CPU, 20-core GPU and an AI-related processor for enhanced camera and audio operations, as well as machine learning applications. The Tensor chip ...

The upcoming Tensor G5 will be Google's first fully custom chip, and thanks to a leak from Google we now know how it achieved ...

Google says it's found a sweet spot between power and efficiency by employing the 'distillation' of neural nets.

In addition, Google’s new AI accelerator Tensor Processing Unit v5p is now generally available. Each TPU v5p pod is composed of nearly 9,000 chips over Google’s highest-bandwidth inter-chip ...

How is an AI different from a neural net? How can a machine learn? What is an AGI? And will DeepSeek really change the game? Read on to find out.