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 | pmem: 448kB, dmem: 64kB  | 
		
|---|---|
| DNN Core Clock | Same as DSP  | 
		
| DNN Core Features | All Networks, Fixed Point  | 
		
| MCU Memory | M0, 48kB  | 
		
| MCU Clock | Same as DSP  | 
		
| DSP Memory | imem: 64kB, dmem: 144kB  | 
		
| DSP Clock | 0,9V: < 22MHz, 1,0V: < 60MHz, 1,1V: < 100MHz  | 
		
| DSP Features | HiFi3: Fixed-point  | 
		
| Package [mm] | 2mm x 2mm 25-ball WLBGA  | 
		
| Product status | Active  | 
		
The Syntiant® NDP115 Neural Decision Processor™ is a special purpose chip deep learning and is ideal for always-on applications in battery powered devices and other power constrained systems. The NDP115 applies neural processing to run multiple applications simultaneously with minimal power consumption. Built using the Syntiant Core 2™ programmable deep learning architecture, NDP115 is designed to natively run multiple Deep Neural Networks (DNN) on a variety of architectures, such as CNN, RNN and fully connected networks. NDP115 brings a level of ML performance that delivers 25x the tensor throughput compared to the Syntiant Core 1™ embedded in Syntiant’s NDP100 and NDP101 devices, and is able to run speech inferences at a mere 280 microwatts. A programmable HiFi 3 DSP is available for flexible feature extraction classical audio processing.
| DNN Core Memory | pmem: 448kB, dmem: 64kB  | 
		
|---|---|
| DNN Core Clock | Same as DSP  | 
		
| DNN Core Features | All Networks, Fixed Point  | 
		
| MCU Memory | M0, 48kB  | 
		
| MCU Clock | Same as DSP  | 
		
| DSP Memory | imem: 64kB, dmem: 144kB  | 
		
| DSP Clock | 0,9V: < 22MHz, 1,0V: < 60MHz, 1,1V: < 100MHz  | 
		
| DSP Features | HiFi3: Fixed-point  | 
		
| Package [mm] | 2mm x 2mm 25-ball WLBGA  | 
		
| Product status | Active  | 
		
The Syntiant® NDP115 Neural Decision Processor™ is a special purpose chip deep learning and is ideal for always-on applications in battery powered devices and other power constrained systems. The NDP115 applies neural processing to run multiple applications simultaneously with minimal power consumption. Built using the Syntiant Core 2™ programmable deep learning architecture, NDP115 is designed to natively run multiple Deep Neural Networks (DNN) on a variety of architectures, such as CNN, RNN and fully connected networks. NDP115 brings a level of ML performance that delivers 25x the tensor throughput compared to the Syntiant Core 1™ embedded in Syntiant’s NDP100 and NDP101 devices, and is able to run speech inferences at a mere 280 microwatts. A programmable HiFi 3 DSP is available for flexible feature extraction classical audio processing.
| DNN Core Memory | pmem: 448kB, dmem: 64kB  | 
		
|---|---|
| DNN Core Clock | Same as DSP  | 
		
| DNN Core Features | All Networks, Fixed Point  | 
		
| MCU Memory | M0, 48kB  | 
		
| MCU Clock | Same as DSP  | 
		
| DSP Memory | imem: 64kB, dmem: 144kB  | 
		
| DSP Clock | 0,9V: < 22MHz, 1,0V: < 60MHz, 1,1V: < 100MHz  | 
		
| DSP Features | HiFi3: Fixed-point  | 
		
| Package [mm] | 2mm x 2mm 25-ball WLBGA  | 
		
| Product status | Active  | 
		
The Syntiant® NDP115 Neural Decision Processor™ is a special purpose chip deep learning and is ideal for always-on applications in battery powered devices and other power constrained systems. The NDP115 applies neural processing to run multiple applications simultaneously with minimal power consumption. Built using the Syntiant Core 2™ programmable deep learning architecture, NDP115 is designed to natively run multiple Deep Neural Networks (DNN) on a variety of architectures, such as CNN, RNN and fully connected networks. NDP115 brings a level of ML performance that delivers 25x the tensor throughput compared to the Syntiant Core 1™ embedded in Syntiant’s NDP100 and NDP101 devices, and is able to run speech inferences at a mere 280 microwatts. A programmable HiFi 3 DSP is available for flexible feature extraction classical audio processing.