allnetRadxa
RADXA AICore DX-M1M
Manufacturer part no. RM193
$120.00≈ 104.00 €
Price summary
Sold by 2 suppliers, from €84.89 to €104.00. The lowest listed price is arace at €84.89. It is also the cheapest delivered: about €119.87 including shipping, VAT and any customs duty. 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.
In stock
Estimated landed cost
| Item | €104.00 |
|---|---|
| Shipping | €15.00 |
| VAT (20%) | €23.80 |
| Total delivered | €142.80 |
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.
2 offers for this product
| Seller | Availability | Price | Seller link |
|---|---|---|---|
| allnetBest delivered cost | In stock | $120.00€124.80 incl. VAT | Visit ↗ |
| arace | Unknown avail. | $97.95€101.87 incl. VAT | Visit ↗ |
Prices compared incl. VAT: some sellers list ex-VAT trade prices, others VAT-inclusive retail prices. The badge marks the best estimated delivered cost, shipping and duties included — not always the first row.
Specifications (automatically extracted)
Mechanical
| Weight | 100 g |
Description
Radxa AICore DX‑M1M is a high‑performance M.2 acceleration module powered by the DEEPX DX‑M1M, designed for fast and efficient on‑device inference in embedded and industrial systems. This AI processor delivers a stunning 25 TOPS (INT8) while maintaining ultra‑low power consumption at just 3W, enabling high performance within a highly efficient power budget. RADXA AICore DX-M1M product details DeepX DX-M1M Dual‑core Cortex‑A76 up to 2.0GHz + Hexa‑core Cortex‑A55 up to 1.8GHz – Video Decode H.265 / VP9 /AVS2 (up to 8Kp24) – Video Encode H.264 / H.256 (up to 4Kp30) AI Performance 25 TOPS Memory 1GB LPDDR4X@4266 MT/s Storage QSPI 1Gbit NAND / NOR Flash Host Interface PCIe Gen3 x4 (Supports Gen 1/2/3 & x1/x2) Software ・ Support Windows 10 / 11 ・ Ubuntu 24.04 / 22.04 / 20.04 LTS ・ Docker AI Frameworks ・ Support TensorFlow ・ ONNX ・ Keras ・ PyTorch by DX‑COM compiler converted Operating Temperature ‑25 ~ 65°C (Non‑Throttling) / ‑25 ~ 85°C (Throttling) Host Platform x86 / ARM Power Consumption 3W (Typical) Form Factor M.2 M + B Key, 22mm x 42mm ______________________________________________________ Additional information & Setup instructions under preparation ______________________________________________________ Available until at least December 2030
