Gyrfalcon's inference chip has broad targets
Rick Merritt, EETimes
1/25/2018 00:01 AM EST
SAN JOSE, Calif. — Startup Gyrfalcon is moving fast with a chip for inferencing on deep neural networks, but it faces an increasingly crowded market in AI silicon. A year after it got its first funding, the company is showing a working chip and claiming design wins in smartphones, security cameras and industrial automation equipment.
Data centers typically train deep neural networks and run inference tasks on them using banks of servers. Increasingly, client and embedded systems from cars to handsets are adopting accelerators to speed the inferencing jobs.
Apple, Google and Huawei are already shipping smartphones with inferencing blocks in their custom SoCs. Google and Microsoft built inference accelerators for their data centers.
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