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TPU and hardware vs. software innovation (round 3)

Ray Lucchesi of RayOnStorage Blog comments:

At Google IO conference this week, they revealed (see Google supercharges machine learning tasks …) that they had been designing and operating their own processor chips in order to optimize machine learning. They called the new chip, a Tensor Processing Unit (TPU). According to Google, the TPU provides an order of magnitude more power efficient machine learning over what’s achievable via off the shelf GPU/CPUs. TensorFlow is Google’s open sourced machine learning  software.

When it comes to machine learning, hardware is still a necessity to do some of the really complicated things fast.

Read more at: TPU and hardware vs. software innovation (round 3)

About the author

Tom Hollingsworth

Tom Hollingsworth is a networking professional, blogger, and speaker on advanced technology topics. He is also an organizer for networking and wireless for Tech Field Day.  His blog can be found at

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