system-on-module

Grinn GenioBoard + DEEPX

Delivering 25 TOPS of native INT8 performance, the Grinn GenioBoard with the DEEPX DX-M1 M.2 Module enables high-throughput AI inference directly at the edge.

The DEEPX DX-M1 integrates a dedicated deep-learning accelerator architecture with an integrated high-bandwidth memory subsystem, ensuring efficient execution of demanding neural network workloads. It supports model conversion from TensorFlow, ONNX, Keras, and PyTorch via the DEEPX dataflow compiler, simplifying AI deployment.

Built around the Grinn GenioSOM module, GenioBoard provides direct access to key interfaces and peripherals for rapid prototyping and development. A compact, scalable platform designed for advanced edge AI systems.

WEEE Registration number: DE 79077745.

Wiki page

Datasheet

Image Recognition
High-performance AI
Robotics
AI-supported computer vision
IoT solutions

Processor
- MediaTek Genio 700
- 2 x ARM Cortex-A78
- 6 x ARM Cortex-A55
DEEPX Accelerator
- DEEPX DX-M1
- 25 TOPS INT8 compute
Graphics & Internal AI Acceleration
- Integrated GPU
- AI Processing Unit 4 TOPS
RAM
- 4 GB LPDDR4
Storage
- 16 GB eMMC
Interfaces
- HDMI
- 2 x MIPI-CSI
- Gigabit Ethernet
- 2 x USB 3.0
- 2 x USB 2.0
- PCIe Gen2
M.2 E expansion slot
- Wi-Fi
- Bluetooth
- Cellular
- Sat. connectivity
M.2 M expansion slot
- DEEPX DX-M1
Power effciency
- 2-5 W when running DEEPX-optimized AI models
Security
- Built-in Infineon OPTIGA™ Trust M for enhanced embedded security and secure key storage
Expansion
- 40-pin GPIO header

ready-to-use

Other products

Grinn EvseSOM RPI HAT

The Grinn EvseSOM RPI HAT is a Raspberry Pi-compatible development and evaluation platform for integrating the Grinn EvseSOM with a host processor through a 40-pin GPIO interface. Designed for eMobility applications, it provides UART, Control Pilot (CP), Proximity Pilot (PP), and safety control interfaces for EV charging development and testing.

Grinn AstraSOM-1680

System on Module featuring a quad-core Cortex A73 processor, advanced GPU, and a neural network accelerator. Ideal for high-performance and AI-driven applications.

Grinn ReneSOM-V2H

Grinn ReneSOM-V2H a compact, high-performance embedded platform powered by the Renesas RZ/V2H vision AI processor, designed for intelligent edge applications.