Providing Low-Power FPGA Design Solutions for Deep Learning
The market for low cost, high-performance FPGA design solutions is growing increasingly competitive. As a new generation of Edge applications emerges, designers are increasingly pressed to develop solutions that combine low power and small form factor and still achieve increased performance demands.
The leading U.S. based low-cost programmable logic provider offering solutions across the network from the Edge to the Cloud across the industries such as growing communications, computing, industrial, automotive and consumer markets was looking to build deep learning solutions on its platform.
Softnautics took ownership of end-to-end solution reference design validation with dataset identification, tuning, and cleanup as per the client's requirement. The technology expertise and model tuning experience by Softnautics enabled the client to unleash the potential of its platform to showcase a real-time smart vehicle classification system.
30% Lower compute power consumption
Improved decision making with better accuracy