Syntiant leads in edge-AI with custom silicon enabling deep learning on battery-powered devices. Their technology supports real-time data processing and decision-making with minimal power consumption, from hearing aids to automotive applications. Syntiant’s solutions empower developers to quickly deploy efficient deep learning models across a wide range of edge devices, revolutionizing applications in audio, video, and sensor processing.
| DNN Core Memory | params: 589k1 |
|---|---|
| DNN Core Clock | < 16MHz |
| DNN Core Features | 4 Layer, Fully Connected |
| MCU Memory | M0, 112kB |
| MCU Clock | < 16MHz |
| DSP Memory | – |
| DSP Clock | – |
| DSP Features | – |
| Package [mm] | 1,7mm x 2,5mm 20-ball eWLB |
| Product status | Active |
The Syntiant® Neural Decision ProcessorTM architecture is built from the ground up to run deep learning algorithms. With embedded Syntiant Core 1TM, the NDP102 is capable of performing sensor processing at under 100uW and can operate as a standalone always-on component of a larger system. It achieves breakthrough performance by highly coupled computation and memory, exploiting the vast inherent parallelism of deep learning and computing at only required numerical precision. The device combines these elements to achieve approximately 100x efficiency improvement over stored program architectures such as CPUs and DSPs.
| DNN Core Memory | params: 589k1 |
|---|---|
| DNN Core Clock | < 16MHz |
| DNN Core Features | 4 Layer, Fully Connected |
| MCU Memory | M0, 112kB |
| MCU Clock | < 16MHz |
| DSP Memory | – |
| DSP Clock | – |
| DSP Features | – |
| Package [mm] | 1,7mm x 2,5mm 20-ball eWLB |
| Product status | Active |
The Syntiant® Neural Decision ProcessorTM architecture is built from the ground up to run deep learning algorithms. With embedded Syntiant Core 1TM, the NDP102 is capable of performing sensor processing at under 100uW and can operate as a standalone always-on component of a larger system. It achieves breakthrough performance by highly coupled computation and memory, exploiting the vast inherent parallelism of deep learning and computing at only required numerical precision. The device combines these elements to achieve approximately 100x efficiency improvement over stored program architectures such as CPUs and DSPs.
| DNN Core Memory | params: 589k1 |
|---|---|
| DNN Core Clock | < 16MHz |
| DNN Core Features | 4 Layer, Fully Connected |
| MCU Memory | M0, 112kB |
| MCU Clock | < 16MHz |
| DSP Memory | – |
| DSP Clock | – |
| DSP Features | – |
| Package [mm] | 1,7mm x 2,5mm 20-ball eWLB |
| Product status | Active |
The Syntiant® Neural Decision ProcessorTM architecture is built from the ground up to run deep learning algorithms. With embedded Syntiant Core 1TM, the NDP102 is capable of performing sensor processing at under 100uW and can operate as a standalone always-on component of a larger system. It achieves breakthrough performance by highly coupled computation and memory, exploiting the vast inherent parallelism of deep learning and computing at only required numerical precision. The device combines these elements to achieve approximately 100x efficiency improvement over stored program architectures such as CPUs and DSPs.
