Google’s new AI chip might be a threat to NVIDIA

Google claims that its chip is 10 times more efficient in performance per watt compared to the conventional alternatives Google announced in its recent I/O conference that it has developed Tensor Processing Unit (TPU), an application specific processor designed for deep learning. Google states that TPU demonstrates faster intelligence capabilities to manage AI workloads. Google proudly claims that TPUs are high-tech chips that drive forward chip-technology seven years into the future. This custom IC (Integrated Circuit) finds its application in Google’s TensorFlow machine learning software. Thousands of them are being used in its own data centres for over a year now. They are used to power components that perform deep learning tasks, which include Google’s search algorithm and StreetView feature of Google Maps. Notably, AlphaGo, Google’s computer program which beat…


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