PURPOSE-BUILT HARDWARE FOR EDGE AI

High-performance processing on power-constrained devices

Neural Decision Processors

Our family of Neural Decision Processors (NDPs) are specifically designed to run deep learning models, providing 100x the efficiency and 10/30x the throughput of existing low-power MCUs.

From acoustic event detection for security applications to video processing in teleconferencing, our hardware can equip almost any device with powerful advanced intelligence, enabling real-time data processing and decision making with near-zero latency.

Seamless Integration

Our core architectures process neural network layers directly without any compilers, enabling larger networks at significantly lower power, greatly increasing battery life, privacy and responsiveness, while decreasing infrastructure costs.

With I/O support for a variety of sensor modalities, including vision, audio and motion, our NDPs bring AI to edge applications in all kinds of domains, from earbuds and doorbells to automobiles and manufacturing machinery.

Neural Decision Processor Portfolio

	Status	Primary Modality	Package	Syntiant DNN* Core			MCU		DSP
	Status	Primary Modality	Package	Memory	Clock	Features	Memory	Clock	Memory	Clock	Features
NDP100	Mass Production	Audio, Sensors	1.4mm x 1.8mm 12-ball WLBGA	params: 589k¹	< 16MHz	4 Layer Fully Connected	M0, 112kB	< 16MHz	N/A
NDP101	Mass Production	Audio, Sensors	5mm x 5mm 32-pin QFN	params: 589k¹	< 16MHz	4 Layer Fully Connected	M0, 112kB	< 16MHz	N/A
NDP102	Mass Production	Audio, Sensors	1.7mm x 2.5mm 20-ball eWLB	params: 589k¹	< 16MHz	4 Layer Fully Connected	M0, 112kB	< 16MHz	N/A
NDP115	Mass Production	Audio, Sensors	2mm x 2mm 25-ball WLBGA	pmem: 448kB dmem: 64kB	Same as DSP	All Networks, Fixed Point	M0, 48kB	Same as DSP	imem: 64kB dmem: 144kB	0.9V: < 22MHz 1.0V: < 60MHz 1.1V: < 100MHz	HiFi3: Fixed-point
NDP120	Mass Production	Audio, Sensors	3.1 mm x 2.5 mm 42-ball WLBGA & 5mm x 5mm 40-pin QFN	pmem: 896kB dmem: 128kB	Same as DSP	All Networks, Fixed Point	M0, 48kB	Same as DSP	imem: 96kB dmem: 192kB	0.9V: < 22MHz 1.0V: < 60MHz 1.1V: < 100MHz	HiFi3: Fixed-point
NDP200	Mass Production	Computer Vision	5mm x 5mm 40-pin QFN	pmem: 896kB dmem: 128kB	Same as DSP	All Networks, Fixed Point	M0, 48kB	Same as DSP	imem: 96kB dmem: 192kB	0.9V: < 22MHz 1.0V: < 60MHz 1.1V: < 100MHz	HiFi3: Fixed-point
NDP250	Sampling	Computer Vision, Sensor, Speech	6.1mm x 5.1mm 120-ball eWLB	6MB	Same as DSP	All Networks, Fixed Point	0.5MB	Same as DSP	1.5MB	0.8V: < 80MHz 0.9V: < 120MHz	HiFi3: Floating-point

* Deep Neural Network

¹ 4-bit parameters

Syntiant Powered Platforms

Syntiant Evaluation Kits

Syntiant evaluation kits are designed to help customers bring up the solution quickly and access features easily. The evaluation kit consists of a shield, featuring our Neural Decision Processor, connected to a Raspberry Pi Model 3B+ single-board.

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RASynBoard

Developed in collaboration with Avnet and Renesas, the RASynBoard is a small, ultra-low power, edge AI/ML board, featuring a Syntiant NDP120, a Renesas RA6M4 host MCU plus a power-efficient DA16600 Wi-Fi/BT combo module.

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Nicla Voice

Built in collaboration with Arduino and powered by the Syntiant NDP120, the Nicla Voice platform allows for easy implementation of always-on speech recognition at the edge, enabling multiple concurrent AI models.

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TinyML Development Platform

Syntiant’s Tiny Machine Learning (“TinyML”) Development Platform, featuring the NDP101 is the ideal board for building low-power voice, acoustic event detection (AED) and sensor ML applications. Developed in collaboration with Edge Impulse, our developer kit provides broad access to Syntiant’s technology.

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Murata Type2DA AI Module

Murata’s Type2DA AI Module is a compact (6.1mm X 5.8mm) multi-chip module containing a Syntiant NDP102, an MCU, a crystal oscillator, an LDO and flash memory. This makes the Type2DA ideal for TinyML audio and sensor applications.

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Eoxys ML SOMs

Eoxys’ XENO+ ML (Machine-Learning) SOM (System-On-Module) with our NDP120 with Syntiant’s second-generation Core 2 neural network engine bring highly accurate, low-power inference to edge devices for both consumer and industrial segments. The XENO+ ML SOMs bring together AI and Machine-Learning capabilities with Wi-Fi/ BLE/ LTE wireless connectivity.

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