Here’s how our TPUs power increasingly demanding AI workloads.
Google's TPUs (Tensor Processing Units) are custom chips designed from the ground up over a decade ago to run AI models. The newest generation delivers 121 exaflops of compute power with double the bandwidth of previous generations. This article introduces a video explaining how TPUs work.
What is a TPU? Watch Google’s new video to learn how TPUs work
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Here’s how our TPUs power increasingly demanding AI workloads.
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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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