allnetRadxa
RADXA AICore DX-M1
Manufacturer part no. RM192
$139.99≈ 121.32 €
Price summary
Listed by allnet at €121.32. Delivered to France, including shipping, VAT and any customs duty, it comes to about €163.58. Prices last checked on 2026-09-16.
Delivered cost is an estimate for a single item shipped to mainland France; the seller's checkout is authoritative.
Availability unknown
Estimated landed cost
| Item | €121.32 |
|---|---|
| Shipping | €15.00 |
| VAT (20%) | €27.26 |
| Total delivered | €163.58 |
Estimate for a single item delivered to mainland France, shipped from outside the EU: customs duty and clearance fees may apply and are charged by the carrier.
Specifications (automatically extracted)
Mechanical
| Weight | 50 g |
Description
Radxa AICore DX‑M1 is a high‑performance M.2 acceleration module based on DEEPX’s DX‑M1 module. It features high energy efficiency, high‑precision computing, and ease of use, specifically optimized for edge computing scenarios and machine vision. The Radxa AICore DX‑M1 module is currently compatible with various single‑board com‑ puters (SBCs), such as Radxa ROCK 5B/5B+ and other motherboards. RADXA AICore DX-M1 product details DEEPX’s DX‑M1 module Octa‑core Cortex‑A55 processor with a frequency up to 1.5GHz NPU – 24TOPS@INT8, Supports Matrix Arithmetic Unit (MAU) and Intelligent Video Engine (IVE) VPU – Supports H.264/H.265 8K@30fps codec and 16‑channel 1080p@30fps decoding AI Performance 25 TOPS Memory 4GB LPDDR5 + 1Gbit QSPI NAND Flash Storage QSPI 1Gbit NAND / NOR Flash Host Interface M.2 M Key Host System Supports mainstream host platforms including ARM, x86 Software ・ Support for Ubuntu, Debian AI Frameworks ・ TensorFlow ・ ONNX ・ PyTorch Operating Temperature ‑25 ~ 65°C (Non‑Throttling) / ‑25 ~ 85°C (Throttling) Host Platform Supports mainstream host platforms including Intel, AMD, Rockchip, etc. Power Consumption @3.3V ≤ 5W Form Factor M.2 M Key, 2280 (22mm x 80mm) ______________________________________________________ Additional information & Setup instructions under preparation ______________________________________________________ Available until at least July 2030
