# LattePanda Mu N305

> Card-sized x86 compute module with Intel Core i3-N305 8-core (up to 3.8GHz), 16GB LPDDR5, 64GB eMMC, 9 PCIe 3.0 lanes, triple display output, and open-source KiCAD carrier board design.

## Quick Facts

- **Brand:** DFRobot
- **Board Type:** compute-module
- **Price:** ~$269
- **Product Readiness:** ready-to-use
- **CPU:** Intel Core i3-N305 8-core @ 3.8GHz turbo, Intel UHD Graphics
- **CPU Architecture:** x86-64 (Alder Lake-N)
- **CPU Cores:** 8
- **RAM:** 16GB LPDDR5 4800MT/s (IBECC)
- **Flash:** 64GB eMMC 5.1
- **Power:** 9-20V DC input
- **Operating Voltage:** 3.3V
- **Operating Temp:** 0°C to +60°C
- **Dimensions:** 69.6 × 60mm
- **Weight:** 36g

## Use Cases

- edge-computing
- home-lab-networking
- industrial-automation
- iot-gateway
- digital-signage

## Components

- **Intel-i3-N305** (sbc): Intel Core i3-N305 8-core x86 CPU at up to 3.8GHz with Intel UHD Graphics and configurable 9-35W TDP. — [Datasheet](https://openhardware.directory/r?to=https%3A%2F%2Fwww.intel.com%2Fcontent%2Fwww%2Fus%2Fen%2Fproducts%2Fsku%2F231804%2Fintel-core-i3n305-processor-6m-cache-up-to-3-80-ghz%2Fspecifications.html&ref=openhardware.directory&product=lattepanda-mu-n305&source=md-export)

## Description

## Overview

The LattePanda Mu N305 is the high-performance variant of the LattePanda Mu compute module family, featuring an Intel Core i3-N305 with 8 efficiency cores running at up to 3.8GHz turbo boost. Paired with 16GB LPDDR5 RAM (IBECC error-correcting) and 64GB eMMC 5.1 storage, it delivers significantly more compute headroom than the N100 variant while maintaining the same credit-card-sized 69.6 x 60mm form factor.

Like its sibling, the Mu N305 exposes a rich I/O set through its edge connector: up to 9 PCIe 3.0 lanes, 3 HDMI/DisplayPort outputs at 4K@60Hz, 8 USB 2.0 ports, up to 4 USB 3.2 Gen2 (10Gbps), 2 SATA 3.0 ports, and 64 expandable GPIOs. The TDP is configurable from 9W to 35W, allowing developers to balance performance against thermal constraints for their specific deployment.

With a Geekbench 6 multi-core score of 5249, the N305 module is capable of handling demanding edge workloads including AI inference, multi-stream video processing, and virtualized environments. Open-source KiCAD carrier board designs on GitHub enable custom hardware integration, making it suitable for NAS builds, network appliances, industrial control systems, and compact server clusters.

## Where to Buy

- [DFRobot](https://openhardware.directory/r?to=https%3A%2F%2Fwww.dfrobot.com%2Fproduct-2902.html&ref=openhardware.directory&product=lattepanda-mu-n305&source=md-export) — 269.00

## Resources

- [product](https://openhardware.directory/r?to=https%3A%2F%2Fwww.dfrobot.com%2Fproduct-2902.html&ref=openhardware.directory&product=lattepanda-mu-n305&source=md-export)
- [github](https://openhardware.directory/r?to=https%3A%2F%2Fgithub.com%2FLattePandaTeam%2FLattePanda-Mu&ref=openhardware.directory&product=lattepanda-mu-n305&source=md-export)
- [wiki](https://openhardware.directory/r?to=https%3A%2F%2Fdocs.lattepanda.com%2Fcontent%2Fmu_edition%2Fget_started%2F&ref=openhardware.directory&product=lattepanda-mu-n305&source=md-export)

## Images

![LattePanda Mu N305](https://nbg1.your-objectstorage.com/openhardware-directory/entities/lattepanda-mu-n305/6d9585069fc8.png)

---
[View full device page](https://openhardware.directory/devices/lattepanda-mu-n305)