What the Floq: The secret mission Of Google

Google

Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs. 

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Machine Learning for Computer Architecture

One of the key contributors to recent machine learning (ML) advancements is the development of custom accelerators, such as Google TPUs and Edge TPUs, which significantly increase available compute power unlocking various capabilities such as AlphaGo, RankBrain, WaveNets, and Conversational Agents. This increase can lead to improved performance in neural network training and inference, enabling new possibilities in a broad range of applications, such as vision, language, understanding, and self-driving cars.

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