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.
E-mail This Article | Printer-Friendly Page |
Related News
- AI Software Startup Moreh Partners with AI Semiconductor Company Tenstorrent to Challenge NVIDIA in AI Data Center Market
- DENSO and U.S. Startup Quadric Sign Development License Agreement for AI Semiconductor (NPU)
- SEMIFIVE announces commercialization of its 5nm HPC SoC Platform with lead partner Rebellions, AI Chipmaker startup based in Korea
- Networking Chip Startup Enfabrica Emerges from Stealth Mode to Solve Scalability and Price-Performance Challenges for AI Growth in Cloud
- Startup AiM Future Set to Commercialize LG's AI IP
Breaking News
- Micon Global and Silvaco Announce New Partnership
- Arm loses out in Qualcomm court case, wants a re-trial
- Jury is out in the Arm vs Qualcomm trial
- Ceva Seeks To Exploit Synergies in Portfolio with Nano NPU
- Synopsys Responds to U.K. Competition and Markets Authority's Phase 1 Announcement Regarding Ansys Acquisition