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.

Wiki page
  • 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
Grinn GenioBoard + DEEPX
ready-to-use

Other products

Grinn MiniSOM-8M
Grinn MiniSOM-8M

System on Module (SoM) featuring the i.MX 8M Mini processor, optimized for low power consumption and high performance.

Grinn GenioSOM-510
Grinn GenioSOM-510

The Grinn GenioSOM-510 is an advanced System on Module (SoM) designed to meet the performance and efficiency needs of Artificial Intelligence and Internet of Things applications. Leveraging a powerful MediaTek® Genio 510 (MT8370) IoT application processor, this SoM is ideal for edge computing scenarios that demand real-time processing and multimedia capabilities.

Grinn AstraSOM-1680
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

Distributors

Find your distributor

Get in touch to place your custom order or find a distributor in your region

Select location

Distributors in Poland

Select a distributor to visit their website and place an order.

Soyter Components

Unisystem

Got an IoT Idea? Let's Chat!

We're excited to hear about your IoT product ideas. Whether you need help with a small detail or a big project, we're here to make it happen.

AWARDS AND CERTIFICATIONS

REVIEWED ON
4.8 / 5.0

Your message
was sent!

Thank you for contacting us.
We will get in touch as soon as possible!

Your message
was sent!

Thank you for contacting us.
We will get in touch as soon as possible!

Your message
was sent!

Thank you for contacting us.
We will get in touch as soon as possible!