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[ARTICLE · art-267] src=blog.google pub= topic=artificial-intelligence verified=true sentiment=· neutral

Here’s how our TPUs power increasingly demanding AI workloads.

Google's custom-designed Tensor Processing Units (TPUs) are specialized chips built to perform the massive-scale mathematical computations required for AI models. The newest generation of TPUs delivers 121 exaflops of compute power and double the bandwidth of previous versions, enabling increasingly demanding AI workloads.

read1 min views14 publishedApr 23, 2026

Behind the Google products you use every day are custom chips designed for one job: doing math at massive scale. They're called TPUs, or Tensor Processing Units. We designed TPUs from the ground up more than a decade ago specifically to run AI models. Basically, it takes a lot of math for AI models to work, and TPUs can do complex math super quickly: The newest generation of TPUs can process 121 exaflops of compute power with double the bandwidth of previous generations. Learn more about these tiny but mighty processors in the video below.

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