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
- Memory Simulation & Verification Platform
- PQC HW/SW IP Core
- PQC Co-Proc IP Core
- Poly IP Core
- Keccak IP Core
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
- Dolphin Semiconductor and INTERA Group Announce Reference Platform Combining Analog Voice Sensing and Neuromorphic AI for Ultra-Low-Power Edge Intelligence
- MEMTECH announces MemVerify-LPDDR5x memory simulation & verification platform
- Analog Bits Expands Global Engineering Footprint with New Design Center in Dongtan, South Korea
- ChipAgents Helps Whalechip Cut Semiconductor Root Cause Analysis from Days to Minutes
- European Processor Initiative Successfully Concluded