Google is packing ample amounts of static random access memory into a dedicated chip for running artificial intelligence models, following Nvidia's plans.
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After years of producing chips that can both train artificial intelligence models and handle inference work, Google
is separating those tasks into distinct processors, its latest effort to take on Nvidia
in AI hardware.
Google said Wednesday that it’s making the change for the eighth generation of its tensor processing unit, or TPU. Both chips will become available later this year.
Google says Ironwood, the seventh generation of its Tensor Processing Unit, is more than four times faster than its predecessor…
Google's cloud business is a primary engine of growth, and the company's custom-built chips called Tensor Processing Units are…
Google's new generation of Tensor AI chips is actually two chips, one for inference and one for training.
Google's newest TPUs are faster and cheaper than the previous versions. But the company is still embracing Nvidia in its cloud…
Google has committed to using multiple generations of Intel chips to power its AI data centers, in an expansion of an existing…
It was in response to Wall Street's concern that Google's TPU chips could threaten Nvidia's dominance of the AI infrastructure…
