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

# Here’s how our TPUs power increasingly demanding AI workloads. Source: [https://blog.google/innovation-and-ai/infrastructure-and-cloud/google-cloud/what-is-a-tpu/](https://blog.google/innovation-and-ai/infrastructure-and-cloud/google-cloud/what-is-a-tpu/) 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](https://cloud.google.com/transform/ai-specialized-chips-tpu-history-gen-ai?e=13802955)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](https://blog.google/innovation-and-ai/infrastructure-and-cloud/google-cloud/tpus-8t-8i-cloud-next)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\.