LattePanda Mu Ultra - A Micro x86 Compute Module for On-device AI (Intel Core Ultra 7 256V CPU, 16GB RAM, 115 TOPS)

LattePanda Mu Ultra 256V is a micro x86 compute module built for on-device AI. Powered by an Intel Core Ultra 7 256V processor (Lunar Lake) with 16GB of LPDDR5X memory running at 8533MT/s, the compute module delivers up to 115 TOPS of combined peak INT8 AI performance across the 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, enable integration into robots, handheld instruments and edge devices.

Massive AI Power, Up to 115 TOPS for Local AI

The Intel Core Ultra 7 256V processor integrates three compute engines into one module: an 8-core, 8-thread CPU running at up to 4.8GHz, an Intel Arc 140V GPU with 8 Xe-cores and an Intel AI Boost NPU. Combined peak INT8 AI performance reaches up to 115 TOPS across the CPU, GPU and NPU, including up to 64 TOPS from the GPU and up to 47 TOPS from the NPU.

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

Beyond AI acceleration, 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.

At a 37W TDP setting, the LattePanda Mu Ultra 256V achieved approximately 11,000 multi-core and 2,700 single-core points in Geekbench 6. Its Intel Arc 140V GPU scored approximately 3,500 in the 3DMark Time Spy Graphics test. In OpenVINO NPU forward-pass testing, the module delivered 254.5 FPS with YOLO26n, 163.7 FPS with YOLO26s and 79.6 FPS with YOLO26m.

Lightning-Fast Unified Memory On Package

Local LLM performance relies heavily on memory bandwidth. LattePanda Mu Ultra integrates 16GB of LPDDR5X 8533MT/s Memory-on-Package, delivering memory bandwidth of up to 136.5GB/s for local model workloads.

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 LattePanda Mu Ultra compute module measures only 69.6mm x 60mm. The credit-card-sized form factor concentrates the processor, 16GB memory and expansion signals into a compact module suitable for space-constrained systems such as mobile robots, handheld instruments and smart terminals.

Active or Idle, Efficient Power Consumption for Edge AI

LattePanda Mu Ultra delivers more performance per watt than previous generations while maintaining low idle power consumption. This balance suits local AI workloads that alternate between short inference bursts and longer idle periods, helping extend operating time in both mains-powered and battery-powered systems.

Support for 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 software 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.

Ready-to-Use Carrier Boards for Faster Development

As a compute module, LattePanda Mu Ultra requires a compatible carrier board to provide power input, storage expansion and physical peripheral connectors.

The Mini Carrier Board offers a compact development platform with two full-featured USB Type-C ports, two USB 3.2 Gen 2 Type-A ports, 2.5G Ethernet, HDMI 2.0, OCuLink and separate M.2 slots for NVMe SSD and WLAN expansion.

The Lite Carrier Board also supports LattePanda Mu Ultra, with limitations on some ports. See the compatibility list for details before selecting interfaces for a Mu Ultra configuration.

Open-Source Carrier Board Reference Files

LattePanda provides open-source carrier board reference files for adapting carrier board designs to application-specific interface, layout and form-factor requirements. These reference materials help reduce the work required to begin a custom carrier board design.

Customized Solutions

LattePanda offers customization services for carrier boards, boot screens, BIOS functions, operating systems and related requirements. Specific customization requests can be sent to [email protected].

LattePanda provides technical support for the evaluation and implementation of customized solutions.

Note: The LattePanda Mu Ultra series includes onboard memory but no onboard storage. A compatible SSD (not included) must be installed through the M.2 slot on a carrier board before use.