LattePanda Mu Ultra 226V AI Development Kit (Intel Core Ultra 5, 16GB RAM, 97 TOPS, Mini Carrier Board & Active Cooler included)

LattePanda Mu Ultra 226V is a micro x86 compute module built for on-device AI. Powered by an Intel Core Ultra 5 226V processor with 16GB of LPDDR5X memory running at 8533MT/s, it delivers up to 97 TOPS of combined AI performance across its CPU, GPU and NPU—all on a 69.6mm x 60mm, credit-card-sized board. Rich expansion pins, including PCIe 4.0, USB 3.2 Gen 2 and HDMI/DP outputs, together with multi-OS support, make the module suitable for integrating local AI into robots, handheld instruments and edge devices.

This kit includes the LattePanda Mu Ultra 226V micro x86 compute module, a Mini Carrier Board and an Active Cooler, combining the core computing, I/O expansion and cooling hardware in one package.

Massive AI Power, Up to 97 TOPS for Local AI

The Intel Core Ultra 5 226V processor integrates three compute engines into one module: an 8-core CPU, an Intel Arc 130V GPU and an Intel AI Boost NPU, delivering up to 97 TOPS of combined AI compute performance. The CPU, GPU and NPU are designed to handle different workload types, supporting local execution of LLMs, VLMs, YOLO and speech models without relying on a cloud connection.

Powerful General Performance

LattePanda Mu Ultra is also a capable computer-on-module. The 8-core CPU and Intel Arc GPU support logic control, accelerated graphics and parallel computing with desktop-class performance, enabling responsive operation under demanding general computing workloads.

The Intel Core Ultra 5 226V compute module included in this kit achieved approximately 9,800 multi-core and 2,400 single-core points in Geekbench 6 at a 37W TDP setting. Its Intel Arc 130V GPU scored approximately 2,900 in the 3DMark Time Spy Graphics test. In OpenVINO NPU forward-pass testing, the included compute module delivered 235.3 FPS with YOLO26n, 158.7 FPS with YOLO26s and 78.2 FPS with YOLO26m.

Lightning-Fast Unified Memory On Package

Local LLM performance relies heavily on memory bandwidth. LattePanda Mu Ultra features 16GB of LPDDR5X 8533MT/s Memory-on-Package, delivering memory bandwidth of up to 136.5GB/s for faster token generation.

Up to 11.6GB of the onboard memory can be allocated as shared GPU memory to support larger models or expanded context windows.

Card-Sized, Fits Anywhere

The 69.6mm x 60mm compute module fits within a credit-card-sized footprint. Its compact form factor supports integration into space-constrained systems such as mobile robots, handheld instruments and smart terminals, where a standard-sized motherboard would be impractical.

Active or Idle, Maximize Battery Runtime

LattePanda Mu Ultra delivers more performance per watt than previous generations—so every token, frame, and inference consumes less energy.

Low idle power consumption also suits local AI workloads, which often consist of short inference bursts followed by longer idle periods. Efficient power consumption under both active and idle conditions helps extend operating time in mains-powered and battery-powered applications.

Works with Popular AI Software Frameworks

LattePanda Mu Ultra supports Intel OpenVINO for acceleration across the CPU, GPU and NPU, alongside popular runtimes and frameworks such as Ollama. Support for familiar tools simplifies the development and migration of LLM, VLM, YOLO and speech-model applications.

Multi OS Support

The LattePanda Mu Ultra x86 AI compute module supports Windows 11 and Ubuntu 24.04 or later, providing operating system options for different development and deployment requirements.

Flexible Expansion Pins

LattePanda Mu Ultra provides extensive pin access, including flexible PCIe 4.0 configurations with up to 4 x1, 4 x2, or 2 x4 links, two USB 3.2 Gen 2 ports, six USB 2.0 ports, three HDMI/DP outputs, one eDP output, three UART interfaces, three I2C interfaces, 14 GPIOs and one CNVio3 interface. This expansion capability supports application-specific carrier boards and hardware configurations.

Included Mini Carrier Board: Ready-to-Use I/O and Expansion

As a compute module, LattePanda Mu Ultra relies on a carrier board for power input and physical peripheral connections. The included 110mm x 94mm Mini Carrier Board turns the module into a compact development platform with two full-featured USB-C ports, two USB 3.2 Gen 2 Type-A ports, HDMI 2.0, 2.5G Ethernet and GPIO.

Its M.2 M Key slot provides the storage expansion required by the module, supporting 2230/2280 NVMe SSDs at up to PCIe 4.0 x2. A separate M.2 E Key slot supports compatible 2230 WLAN cards, while OCuLink provides up to PCIe 4.0 x4 for external graphics expansion. The result is a ready-to-use base for storage, networking, displays and high-speed peripherals without developing a custom carrier board first.

Included Active Cooler: Purpose-Built Heat Dissipation

Sustained CPU, GPU and NPU workloads generate heat, making suitable heat dissipation important during extended operation. The included Active Cooler is designed specifically for the dimensions and mounting points of LattePanda Mu Ultra, avoiding the need to select and adapt a separate cooling solution.

The cooler combines an aluminum alloy enclosure, a built-in fan and pre-installed thermal pads for direct heat transfer from the module. Its PH2.0-4P cable connects to the Mini Carrier Board's CPU fan connector, providing a matched active-cooling solution for development and sustained workloads.

Note: The compute module has no onboard storage. A compatible NVMe SSD and a 12–20V power supply rated at 50W or higher are required separately.