{"product_id":"a380-mxm-gpu-carrier-board-kit-for-lattepanda-mu-edge-intelligence-6x-4k-output-df-kit0207","title":"A380 MXM GPU Carrier Board Kit for LattePanda Mu (Edge Intelligence \u0026 6x 4K Output)","description":"\u003cp\u003eThe LattePanda Mu A380 MXM GPU Carrier Board Kit is positioned as an ultra-compact, modular x86 edge computing platform that bridges the gap between low-power single-board computers (SBCs) and bulky industrial PCIe expansion systems. It offers a unique combination of scalable x86 processing, modular MXM discrete graphics, and 6-channel 4K video output within a standardized embedded footprint.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003cspan style=\"color: #ff0000;\"\u003eNote: \u003c\/span\u003e\u003c\/b\u003eCompute Module Required, the \u003ca href=\"https:\/\/www.dfrobot.com\/product-2820.html\" target=\"_blank\"\u003eLattePanda Mu Compute Module\u003c\/a\u003e is NOT included. Please purchase it separately to complete the system.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eWhat Challenges Does the LattePanda Mu A380 MXM GPU Kit Solve?\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eStandard x86 Single Board Computers (SBCs) frequently bottleneck when deployed in high-density visual applications or localized artificial intelligence pipelines. Integrated graphics lack the hardware decoding capabilities and parallel processing cores required for complex matrix layouts and real-time neural network inference.\u003c\/p\u003e\n\u003cp\u003eThe LattePanda Mu A380 MXM GPU Carrier Board Kit bridges this gap by marrying the modular efficiency of the \u003cb\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2820.html\" target=\"_blank\"\u003eLattePanda Mu compute module\u003c\/a\u003e\u003c\/b\u003e with a discrete MXM graphics architecture. Housed in a highly integrated footprint, this solution provides desktop-class graphical capabilities and independent multi-screen display management without the spatial or thermal overhead of standard PCIe expansion chassis.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eHow Does the Modular Architecture Enhance Edge Deployments?\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis carrier board kit utilizes a decoupled processing architecture that separates the CPU compute layer from the GPU acceleration subsystem. This design allows developers to scale system components independently based on strict deployment budgets or thermal envelopes.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eDecoupled Scaling: \u003c\/b\u003eThe core carrier slot accepts the full range of LattePanda Mu compute modules, allowing seamless interchangeability between power-efficient processors (such as the Intel N100) and higher-compute alternatives (such as the Core i3-N305).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterchangeable MXM Graphics: \u003c\/b\u003eCompliance with the MXM 3.0\/3.1 (Type A\/B) standards guarantees flexible GPU hardware tailoring. The system scales effortlessly from low-power nodes to high-compute configurations depending on the workload matrix.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eTwo Powerful GPU Kit Options \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eTwo distinct versions of the MXM GPU Carrier Board Kit are available to meet diverse computing requirements. This page details the Intel Arc A380 Kit, optimized for efficient, ultra-low-power edge deployments.\u003c\/p\u003e\n\u003cp\u003eTargeting Ultra-Low-Power Edge AI (Intel Arc A380 \/ 6GB VRAM): Equipped with the Intel Arc A380, this system transforms into a highly cost-effective, ultra-low-power edge AI node. Perfectly tailored for streamlined tasks, the configuration effortlessly runs INT4-quantized Large Language Models (LLMs) at ~3B parameters locally. It stands as the ideal choice for entry-level local AI projects, high-density digital signage, and multi-display setups that require excellent hardware decoding performance within a strict power and thermal budget.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eFor projects demanding heavier compute power and massive VRAM for advanced AI workloads, please refer to the \u003ca href=\"https:\/\/www.dfrobot.com\/product-3119.html\" target=\"_blank\"\u003eRTX 3060 MXM GPU Carrier Board Kit\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg title=\"MXM Graphics Module Comparison\" alt=\"MXM Graphics Module Comparison\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/KIT0207\/KIT0207-table.png\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModular CPU Configuration\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eFully compatible with all the LattePanda Mu compute modules. Drop in either the Intel N100 or Core i3-N305 processor based on your deployment requirements. This decoupled architecture allows you to scale CPU compute independently from the MXM GPU selection.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eImportant Note:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePower Safety: NEVER connect the DC Jack and the ATX 8-Pin power supply simultaneously. This will cause permanent damage to the board.\u003c\/li\u003e\n\u003cli\u003eFan Voltage: Check your MXM fan voltage (5V or 12V) and set the PWR_FAN jumper accordingly before powering on to avoid overheating or fan failure.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eApplications:\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eHigh-Density Digital Signage \u0026amp; Video Walls\u003c\/li\u003e\n\u003cli\u003eLocalized Edge AI Inference\u003c\/li\u003e\n\u003cli\u003eInteractive Media Installations\u003c\/li\u003e\n\u003cli\u003eMulti-Stream Industrial Machine Vision\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecification:\u003c\/h2\u003e\n\u003cp\u003eCore Slot\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCompute Module: LattePanda Mu Slot\u003c\/li\u003e\n\u003cli\u003eGPU Module: MXM 3.0\/3.1 (Type A\/B Compatible)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eVideo Output\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eHDMI: 3 x HDMI, Each supports 4K@60Hz (Mu iGPU 2-ch + MXM dGPU 1-ch)\u003c\/li\u003e\n\u003cli\u003eDisplayPort(DP): 3 x DP, Each supports 4K@60Hz (All from MXM dGPU)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eExpansion Slots\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eM.2 M Key: 2230, PCIe 3.0 x1\u003c\/li\u003e\n\u003cli\u003eM.2 E Key: 2230, PCIe 3.0 x1 + USB2.0\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eInternal I\/O\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eF_Front: PWRBTN, RESET, PLED (Standard 2.54mm Pitch)\u003c\/li\u003e\n\u003cli\u003eCPU Fan: PH2.0-4P\u003c\/li\u003e\n\u003cli\u003eMXM Fan: PH2.0-4P \u0026amp; PH2.5-4P\u003c\/li\u003e\n\u003cli\u003ePWR_FAN Jumper: 2.54mm Pin Header (5V\/12V selectable)\u003c\/li\u003e\n\u003cli\u003eRTC: CR1220 battery holder\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eExternal Ports\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUSB: 2 x USB 3.2 Gen2 + 2 x USB 2.0\u003c\/li\u003e\n\u003cli\u003eEthernet: 1 x RJ45, 10\/100\/1000Mbps Auto-Negotiation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eMechanical\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCarrier Board Size: 146 x 102mm\u003c\/li\u003e\n\u003cli\u003eOverall Size: 159 x 107.5 x 88.5mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eProduct Includes:\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eLattePanda Mu GPU Carrier Board x1\u003c\/li\u003e\n\u003cli\u003eIntel Arc A380 MXM Graphics Card x1 (Pre-assembled with cooling fan)\u003c\/li\u003e\n\u003cli\u003eMetal Enclosure x1\u003c\/li\u003e\n\u003cli\u003ePower Adapter x1\u003c\/li\u003e\n\u003cli\u003eAC Power Cords x3 (US\/EU\/UK standards included)\u003c\/li\u003e\n\u003cli\u003e12mm Metal Push-button Switch x1 (with integrated LED indicator)\u003c\/li\u003e\n\u003cli\u003eScrew Pack x1\u003c\/li\u003e\n\u003cli\u003eCR1220 RTC Battery x1\u003c\/li\u003e\n\u003cli\u003eThermal Pad (10x10x5mm) x1\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"DFRobot","offers":[{"title":"Default Title","offer_id":42464172769362,"sku":"DF-KIT0207","price":779.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0735\/0383\/files\/KIT0207_Main_01_260603.jpg?v=1782634948","url":"https:\/\/www.pakronics.co.nz\/products\/a380-mxm-gpu-carrier-board-kit-for-lattepanda-mu-edge-intelligence-6x-4k-output-df-kit0207","provider":"Pakronics®","version":"1.0","type":"link"}