Neural Network Compiler for Edge devices

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 Neural Network Compiler to run deep learning applications on their FPGA platforms.

The client approached Softnautics for building an efficient Neural Network Compiler which supports different FPGA platforms. Neural Network compiler is very user friendly and generates optimized code for the given platform. Subsequently, by using the right engines for the right tasks and devices Softnautics provided a user friendly robust and scalable compiler with the optimal levels of performance. They were able to keep the engineering schedules on track to deliver the designs as scheduled for meet their market commitments.

Business Benefits

Semiconductor

Faster time-to-market

Semiconductor

Flexible and easy to use software

Semiconductor

2x performance optimization

Semiconductor

7+ well known model architecture support

Click on download PDF to know more

Grab Your Copy


By submitting this form, you authorize Softnautics to contact you with further information about our relevant content, products and services.