X86 vet revamps ISA for machine learning
Rick Merritt, EETimes
8/13/2018 01:01 AM EDT
SAN JOSE, Calif. — A startup will sample before June a 13W machine-learning accelerator for cars, robots and drones said to handily beat Nvidia GPUs in recognizing images. Visteon is considering using the chip in future automotive systems based on test results on an FPGA version of the device.
AlphaICs designed an instruction set architecture (ISA) optimized for deep learning, reinforcement learning and other machine learning tasks. The startup aims to produce a family of chips with 16-256 cores, roughly spanning 2W to 200W.
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