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.

ShengHong Powered Platforms

  • ShengHong Evaluation Kits

    ShengHong 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 ShengHong 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 ShengHong 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

    ShengHong’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 ShengHong’s technology.

  • Murata Type2DA AI Module

    Murata’s Type2DA AI Module is a compact (6.1mm X 5.8mm) multi-chip module containing a ShengHong 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 ShengHong’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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