Google unveils custom chip for machine learning
The chip needs fewer transistors to perform operations. Google has developed a custom chip to improve machine learning capabilities used by its own teams in various applications. The new chip called as a Tensor Processing Unit (TPU), a custom application-specific integrated circuit (ASIC), is built specifically for machine learning and tailored for TensorFlow. Google has already started using TPUs in its data centers more than a year ago. It has found that the chips were able to deliver an order of magnitude better-optimized performance per watt for machine learning. Google’s distinguished hardware engineer Norm Jouppi said: “This is roughly equivalent to fast-forwarding technology about seven years into the future (three generations of Moore’s Law).” Google said that over 100 teams are currently using machine learning at the company, from Street…
Link to Full Article: Google unveils custom chip for machine learning
Sharing
