![urban liebel no Twitter: "CPU, GPU, TPU and now HIVE, makes total sense ( and no it wasn't me , I swear ;-) https://t.co/PM1VmEm8TT" / Twitter urban liebel no Twitter: "CPU, GPU, TPU and now HIVE, makes total sense ( and no it wasn't me , I swear ;-) https://t.co/PM1VmEm8TT" / Twitter](https://pbs.twimg.com/media/DCI_H4-XkAA2DIc.jpg)
urban liebel no Twitter: "CPU, GPU, TPU and now HIVE, makes total sense ( and no it wasn't me , I swear ;-) https://t.co/PM1VmEm8TT" / Twitter
![CPU / GPU/ TPU — ML perspective. As a Machine learning Enthusiast who… | by Apeksha Gaonkar | Analytics Vidhya | Medium CPU / GPU/ TPU — ML perspective. As a Machine learning Enthusiast who… | by Apeksha Gaonkar | Analytics Vidhya | Medium](https://arabhardware.net/wp-content/uploads/2019/06/Scalar-vs-Vector-vs-Tensor.jpg)
CPU / GPU/ TPU — ML perspective. As a Machine learning Enthusiast who… | by Apeksha Gaonkar | Analytics Vidhya | Medium
![Google says its custom machine learning chips are often 15-30x faster than GPUs and CPUs | TechCrunch Google says its custom machine learning chips are often 15-30x faster than GPUs and CPUs | TechCrunch](https://techcrunch.com/wp-content/uploads/2017/04/2017-04-05_1014.png)
Google says its custom machine learning chips are often 15-30x faster than GPUs and CPUs | TechCrunch
![mindsync on Twitter: "The new challenge is to create and train massive neural networks and then optimize those networks to run efficiently on a DSA, be it a CPU, GPU, TPU, ASIC, mindsync on Twitter: "The new challenge is to create and train massive neural networks and then optimize those networks to run efficiently on a DSA, be it a CPU, GPU, TPU, ASIC,](https://pbs.twimg.com/media/EGWFZiIWkAAywhb.jpg)