Ara240 product image.jpgAra240 product image.jpgWelcome to the Ara240 DNPU Training! This page provides access to training materials, presentations, demos, recordings, and supporting resources related to the Ara240 DNPU. While live Q&A support will be available during the training period, all content will remain accessible for future reference and self-paced learning.
Required Hardware
- FRDM i.MX 95 Pro
- FRDM i.MX 8M Plus
- Ara240 DNPU
- Ara240 16GB M.2 Module
- microSD >= 64GB storage
- USB-C debug cable
- Internet (Ethernet)
- HDMI Monitor
- 100 W power supply (Anker Charger is recommended)
- USB mouse
- USB keyword
- 1080p USB Camera
Instructions
Step1. Watch introduction DNPU Training
Step2. Check the Hardware and Software Pre-requisites
Step3. Run the rest of the Software demo packages
After completing the pre-work, each lab has its own guide document and a video guide you can use as support material in case you have any question at any step:
- Lab1: Running a GStreamer Pipeline for 8 Video Streams with YOLOv8n on Ara240 DNPU
- Lab2: Running Unimodal Large Language Models on Ara240 DNPU
- Lab3: Interacting with Vision-Language Models on Ara240 DNPU
- Lab4: Enabling REST-Based LLM and VLM Inference on Ara240 DNPU
Additional Resources
Take advantage of the resources below to deepen your knowledge and support your development efforts:
- Ara Software Development Kit (ARA SDK)
- Ara240 DNPU Six Pack
- Ara240 Discrete Neural Processing Unit (DNPU)
- Ara240 16GB M.2 Module
- FRDM i.MX 95 Pro
- FRDM i.MX 8M Plus