Startup Claims AI Design Wins
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.
To read the full article, click here
Related Semiconductor IP
- Hybrid Memory Cube Verification IP
- nQrux® Root of Trust IP
- AXI to UCIe Bridge IP
- UCIe 2.x Controller IP
- SWI3S (SoundWire I3S Interface) Peripheral Controller Core IP
Related News
- Startup Ricursive to Create an End-to-End AI Model for Chip Design
- Start-up claims breakthrough in reconfigurable logic
- Arasan Claims Worldwide Dominance in Design Wins For Flash Memory Card Interface IP
- Startup Claims Low-power IoT Geolocation Without a Positioning Chipset
Latest News
- Arteris Wins Funding to Expand Hardware Design Supply Chain Security Assurance for the Trusted and Assured Microelectronics Program
- UMC Reports Sales for September 2026
- LUBIS EDA Launches FormalOS: Infrastructure for Systematic, Scalable Formal Verification
- Chips&Media Expands Beyond Traditional Video Codecs to Become a Multimedia IP Leader
- Year-to-Date Global Semiconductor Sales Top $1 Trillion Through August