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Keeping up with competitors in many computing applications today means incorporating AI capability. At the edge, where devices are smaller and consume less power, the option of using software-powered GPU architectures becomes unviable due to size, power consumption, and cooling constraints. Purpose-built AI inference … Read More
When the potential for AI at the edge first fired our imagination, semiconductor designers recognized that performance (and low power) required an accelerator and many decided to build their own. Requirements weren’t too complicated, commercial alternatives were limited and who wanted to add another royalty to further reduce… Read More
