Making Edge AI a Reality
Our widely deployed deep learning models and high-performance neural processors can bring the value of Edge AI to any product.
A New Kind of Processor for Deep Learning
Our Neural Decision Processors™ enable customers to quickly and easily deploy deep-learning models on power-constrained devices that previously ran on cloud servers.
| Provide 100x the efficiency and 10/30x higher throughput when compared to existing low-power MCUs.
| At-memory compute greatly reduces power consumption and latency by eliminating any unnecessary data movement.
| Specially designed to run deep-learning models, directly processing neural network layers achieving unprecedented levels of efficiency, often greater than 80%.
| Multi-generational product offerings provide scalability for any edge workload.
Hardware-Agnostic
Machine Learning Models
Our production-ready, off-the-shelf deep learning models remove the struggle from demo to production, shortening time to revenue.
| Highly efficient audio event, speech, sensor, and computer vision algorithms can run on existing hardware.
| Designed to run in compute-constrained environments.
| Deployments on a wide variety of hardware, from the largest GPU to the smallest MCU and everything in between.
| Supports both legacy and modern compute architectures.
Make it Syntiant
Connect the real world to the digital world with our cost-saving, next-generation edge AI interface that greatly improves the user’s experience by bringing speech, vision, and sensor processing to your device.
| Smart Home
| Automotive
| Personal Devices
| Government
| Industrial & Commercial
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