The DFRobot LattePanda Mu is an x86 architecture micro compute module that delivers desktop-grade computing power in a compact 69.6 mm x 60 mm card-sized form factor. Built on Intel Alder Lake-N platform processors, it supports desktop operating systems including Windows and Ubuntu, providing embedded developers with complete PC software ecosystem compatibility.
The module features breakthrough expansion capabilities. It integrates PCIe 3.0, USB 3.2 Gen2, and multi-display HDMI/DP interfaces, as well as low-speed channels such as UART, I²C, and GPIO. Through gold-finger Edge connectors, it achieves desktop-equivalent hardware expansion potential in embedded scenarios. Supported by open-source carrier board design files, technical support services, and scalable customization solutions, this platform significantly reduces development complexity for sophisticated projects. It facilitates rapid implementation of customized carrier boards with professional peripheral integration, delivering enterprise-grade embedded system solutions for smart Edge devices.
Features
- Intel ADL-N platform
- Options for 4- or 8-core models
- AVX2, FMA3, and VNNI instructions
- TDP adjustable from 6 W ~ 35 W
- Intel Gen12 UHD iGPU
- DirectX 12.1, OpenGL 4.6, and Vulkan 1.3
- OpenCL 3.0 and OpenVINO for AI acceleration
- AVC, HEVC, and AV1 hardware codecs
- One eDP 1.4b; three HDMI 2.1/DP 1.4
- Up to three video signals output simultaneously
- LPDDR5 4,800 MHz RAM
- Options for 8 GB and 16 GB
- Supports IB-ECC (error-correcting code)
- 64 GB eMMC storage
- Supports Windows 10/11 and Ubuntu 22.04/24.04 LTS
- Compatible with other operating systems providing standard x86 UEFI installers
- Rich IO interfaces
- Up to nine PCIe 3.0 lanes
- Up to four USB 3.2 10 Gbps ports
- Up to two SATA 3.0 ports
- Eight USB 2.0
- Four UART channels
- Four I²C channels
- Expandable up to 64 GPIO channels
- Wide voltage input: 9 V to 20 V
- CE, FCC, UKCA, RoHS, and KC certifications
Applications
- Portable devices
- Smart instruments
- Autonomous robots
- Edge computing
- Smart gateways
- Digital signage
- Local LLMs
- Streaming media servers
- Server clusters
- Thin clients