Individual experimental accelerator chips can be ganged together in a single module to tackle both the small jobs and the big ones without sacrificing efficiencyThere’s no doubt that GPU-powerhouse Nvidia would like to have a solution for all size scales of AI—from massive data center jobs down to the always-on, low-power neural networks that listen for wakeup words in voice assistants.
Right now, that would take several different technologies, because none of them scale up or down particularly well. It’s clearly preferable to be able to deploy one technology rather than several