Deci's platform accelerates the latency/throughput of your deep learning models to enable inference on any hardware, without compromising accuracy.BOOK A DEMO
Successfully deploying deep learning models in commercial applications demands high performance in terms of latency, throughput, and resulting response time. Models with slow response times can lead to a myriad of undesirable outcomes, from poor user-experience and reduced customer satisfaction to safety hazards in autonomous driving. In many cases, substandard performance can be a showstopper, even preventing the model’s deployment in production. At best, these solutions mean either compromising on the model’s accuracy or suffering increased operational costs by defaulting to more expensive hardware.
Deci’s platform enables your deep learning-based applications to run on your existing hardware. Set goals for high throughput and low latency for your target inference hardware and use the AutoNAC technology in a way that achieves its goals while maintaining the original accuracy.
All while maintaining the same model accuracy!
Boost your trained model’s throughput/latency for any hardware, with Deci’s AutoNAC algorithmic optimization, without compromising on accuracy.
CPU and GPU
Edge Device /
Edge Device /
"Intel and Deci partnered to break a new record at the MLPerf benchmark, accelerating deep learning by 11x on Intel’s Cascade Lake CPU. That’s amazing!
Deci’s platform and technology have what it takes to unleash a whole new world of opportunities for deep learning inference on CPUs."