Google has revealed new benchmark results for its custom TensorFlow processing unit, or TPU. In inference workloads, the company's ASIC positively smokes hardware from Intel, Nvidia. Share on Facebook ...
Google's TPU chips position it as a viable Nvidia competitor, targeting a significant share of the AI data center market.
Nvidia doesn't think Google's TPU-versus-GPU comparison last week told the whole story on what its graphics cards can bring to the table. What changes when Pascal enters the picture? Share on Facebook ...
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Alphabet Closes In On $4 Trillion Market Cap After Surpassing Microsoft As Rumors Swirl Of Meta, Other Hyperscalers Turning To Google TPUs
The company began using its in-house AI chip, the Tensor Processing Unit (TPU), developed with TensorFlow, in 2015. ・Broadcom ...
In this podcast, Peter Braam looks at how TensorFlow framework could be used to accelerate high performance computing. Google has developed TensorFlow, a truly complete platform for ML. The ...
In a pretty substantial move into trying to own the entire AI stack, Google today announced that it will be rolling out a version of its Tensor Processing Unit — a custom chip optimized for its ...
Google recently announced that the Google Cloud TPU (announced last May), is now available in limited quantities as a beta on the Google Cloud Platform (GCP) for running TensorFlow-based AI ...
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