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Product Code: DBHO-062
MPN #: AI HAT+
Imagine turning your Raspberry Pi 5 into a fast, on-device AI engine that can recognize images, speech, or sensor data in real time. The Sixfab AI HAT+ for Raspberry Pi 5, 25 TOPS(DX-M1M) Edge AI Expansion Board is a small add-on that brings a powerful AI accelerator to the Pi. Hobbyists and developers often hit a wall because the Pis CPU cannot handle heavy neural networks without lag. This board removes that bottleneck, letting you run AI models locally without cloud latency.
The main problem many makers face is the lack of enough processing power for edge AI tasks. Without a dedicated accelerator, the Pi slows down, drains the battery, and forces you to send data to a remote server. That delay can make a security camera miss a threat or a robot react too late. Sixfab solves this by adding a 25 TOPS DEEPX DX-M1M chip that runs INT8 models at just 3 W. The board plugs into the Pis PCIe lane and works with Raspberry Pi OS, giving you instant AI performance without extra wiring.
| AI Accelerator | |
| AI Accelerator | DEEPX DX-M1M (25 TOPS) or DX-M1ML (13 TOPS) at INT8 |
| NPU Memory | 2 GB LPDDR4X (DX-M1M), 1 GB LPDDR4X (DX-M1ML) |
| NPU Power Draw | 3 W (typical) |
| Host Interface | |
| Host Interface | PCIe Gen 3 ×1 over 16-pin FFC cable |
| Form Factor | |
| Form Factor | Raspberry Pi HAT+, 56.5 × 65 mm, 6.56 mm tall |
| Power | |
| Power Input | 5 V via the Raspberry Pi 5 2×20-pin header and PCIe connector |
| Cooling | |
| Cooling | Passive |
| Environmental | |
| Operating Temperature | 0–70 °C (Commercial) |
| Compatibility | |
| Supported Host | Raspberry Pi 5 |
| Host OS | Raspberry Pi OS (Trixie) |
| Software | |
| Runtime | dxrt-runtime, APT install, Python & C++ APIs |
| Model Pipeline | ONNX → DXNN via DX-COM compiler |
| Installation | |
| Hot-plug | Not supported. Power off Raspberry Pi 5 before mounting |
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We are retiring PICOPC Products MNHO-073, MNHO-048 and MNHO-043 and they have reached EOL (End Of Life) as we are introducing new products with better technology. We would recommend you to look into MNHO-095. For Untangle, pfSense, OPNsense, Windows 11, Proxmox VE etc. we recommend MNHO-095 whereas for Sophos, Kerio Control and Endian, we would recommend MNHO-069. (A complete list of supported OS can be found in each product's listing)