LattePanda Mu - A Micro x86 Compute Module (N100 CPU, 8GB RAM, 64GB eMMC) with Win11 Enterprise License

Experience the compact power of the LattePanda Mu, a micro x86 compute module equipped with an Intel N100 quad-core processor. With a turbo frequency of 3.4GHz, it provides ample performance for most applications, ensuring smooth multitasking. It boasts impressive benchmarking scores that place it ahead of competitors like the Raspberry Pi 5 and Intel Celeron N5105, all while fitting into a space the size of a credit card.

This tiny module is only 69.6mm by 60mm, making it perfect for integration into devices with limited space. Its power efficiency is adaptable, allowing adjustment of the processor's thermal design power (TDP) between 6W and 35W. This offers a balance between energy consumption and performance, catering to both efficient passive cooling and high-performance active cooling setups.

The LattePanda Mu boasts extensive connectivity and expansion capabilities with its plethora of pins, including multiple HDMI/DisplayPort options, USB ports, PCIe lanes, and SATA connections. This adaptability allows for tailored solutions through custom carrier board design, supported by open-source resources for quick and efficient development.

For a streamlined development process, DFRobot offers a lite carrier board for quick prototyping and a comprehensive evaluation board for exhaustive testing of the module's capabilities. The open-source carrier board files further facilitate customization, reducing development time and costs while providing flexibility in design.

LattePanda Mu supports various operating systems like Windows 10, Windows 11, and Ubuntu, ensuring compatibility with different workflows. For those with specialized requirements, the LattePanda team provides customization services, enhancing the potential to craft bespoke solutions down to the boot screens and BIOS functionalities. Embrace the flexibility and power of LattePanda Mu to accelerate your project development while meeting unique technological needs efficiently.