New TPU Accelerator Chip from Google Speeds Machine Learning

At its I/O Developers Conference this week, Google announced a new product that had been an open secret for several months. The Tensor Processing Unit (TPU) is named after the TensorFlow software it uses for its machine learning programs. In announcing the chip, Google referred to the TPU as an accelerator chip, able to speed up a given task, like data analysis or voice translation. When he introduced the TPU at the I/O conference, Google CEO Sundar Pichai said it provides an order of magnitude better performance per watt than existing chips for machine learning tasks. While it’s unlikely to usurp CPUs and GPUs already in use in the machine learning world, the TPU could potentially speed the machine learning process without using much more energy.Google has been carefully guarding…

Link to Full Article: New TPU Accelerator Chip from Google Speeds Machine Learning

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!