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Sixfab AI HAT+ for Raspberry Pi 5, 25 TOPS(DX-M1M) Edge AI Expansion Board
Sixfab AI HAT+ for Raspberry Pi 5, 25 TOPS(DX-M1M) Edge AI Expansion Board
Sixfab AI HAT+ for Raspberry Pi 5, 25 TOPS(DX-M1M) Edge AI Expansion Board
Sixfab AI HAT+ for Raspberry Pi 5, 25 TOPS(DX-M1M) Edge AI Expansion Board

Sixfab AI HAT+ for Raspberry Pi 5, 25 TOPS(DX-M1M) Edge AI Expansion Board

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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.

 

Sixfab AI HAT+ for Raspberry Pi 5, 25 TOPS(DX-M1M) Edge AI Expansion Board

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.

 

 

Key Features
    • DEEPX DX-M1M AI accelerator delivering up to 25 TOPS at INT8 precision.
    • 2 GB LPDDR4X NPU memory for fast model loading.
    • PCIe Gen 3 1 interface via 16-pin FFC cable.
    • 5 V power supplied through the Pi 5 header and PCIe connector.
    • Passive heat sink design, no fan required.
    • Operating temperature range 0 C to 70 C for commercial use.
    • Compatible with Raspberry Pi 5 and Raspberry Pi OS (Trixie).
    • dxrt-runtime, APT install, and Python/C++ APIs for easy software setup.
    • ONNX to DXNN conversion via DX-COM compiler for model deployment.



Specifications
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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