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
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:
Fixed-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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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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