Re:Google supercharges machine learning tasks with TPU custo...
by manav on Wednesday May 18, 2016 @07:17PM
(#11726798)
Well this also shows their commitment to Tensorflow if they willing to pay to fab custom chips for it. Then again, in the Google scheme of things that's probably not a huge cost.
They've probably carefully modeled the energy savings over GPU/FPGA and found it to be substantial enough, even taking into account costs of design changes.
Re:Google supercharges machine learning tasks with TPU custo...
by vidarh on Thursday May 19, 2016 @07:46AM
(#11729439)
If you need enough chips it doesn't take particularly careful modelling to say that you'll beat an FPGA quite substantially in most cases.
Re:Google supercharges machine learning tasks with TPU custo...
by hendler on Wednesday May 18, 2016 @06:50PM
(#11726658)
For me this is true. GPUs on Amazon are not cheap, and if google passes the savings on from performance power consumption I'd certainly offload some work to Google cloud.
Re:Google supercharges machine learning tasks with TPU custo...
by engizeer on Wednesday May 18, 2016 @06:56PM
(#11726684)
This is true - I've heard rumors that GCE has been trying hard to poach cloud consumers from other providers, this could be another stroke in that effort.
Re:Google supercharges machine learning tasks with TPU custo...
by vintermann on Thursday May 19, 2016 @01:56AM
(#11728302)
It might also give Nvidia some sorely needed worries.
Coming out saying they can give you a service no one else can right down to a custom chip may sway a few buyers in the market.
https://cloud.google.com/ml/