LattePanda Mu Ultra (Core Ultra 7 256V 115-TOPS Credit-Card Lunar Lake x86 AI Compute Module)
69.6×60mm credit-card-sized x86 AI compute module powered by the Intel Core Ultra 7 256V Lunar Lake processor (47-TOPS NPU 4.0 + 64-TOPS Arc 140V GPU = 115 total INT8 TOPS) with 16GB on-package LPDDR5X-8533 memory and 64GB eMMC, exposing PCIe 4.0, USB 3.2, and SATA via a 260-pin SODIMM edge connector and open-source KiCad carrier boards.
Editorial Rating Methodology (★ 4.8 / 5.0): This score is an internal editorial evaluation compiled by the RECIWO Labs editorial team—not a user poll or crowd-voted rating. It assesses published silicon compute efficiency (25%), optical/sensor/actuator engineering (25%), battery & thermal envelope (20%), SDK/software openness (15%), and price-to-specification value (15%) based on official manufacturer datasheets and public technical documentation. Learn more about our evaluation rubric →
Key Engineering Highlights
- Shrinks a full 115-TOPS Intel Core Ultra 7 256V Lunar Lake x86 system—complete with 47-TOPS NPU 4.0, 64-TOPS Arc 140V Xe2 GPU, 16GB LPDDR5X-8533, and 64GB eMMC—onto a 69.6×60mm credit-card module weighing just 26 grams
- Routes PCIe 4.0/3.0, USB 3.2 10Gbps, SATA, UART, I2C, and triple display pipelines through a robust 260-pin SODIMM edge connector, letting robotics engineers swap compute brains like a RAM stick
- Backed by open-source KiCad carrier board schematics and 3D CAD files from DFRobot—supporting desktop PCIe GPU/NIC testing on the Full Evaluation Carrier or ultra-compact deployment inside humanoid torsos on the Lite Carrier
Full Hardware Specifications
| Processor / Edge SoC | Intel Core Ultra 7 256V (8-Core Lunar Lake: 4× P-Cores @ 4.8GHz + 4× LP-E Cores, Configurable 17W–37W TDP) |
|---|---|
| AI Model Stack | 115 Total Platform INT8 TOPS (47 TOPS Intel NPU 4.0 + 64 TOPS Arc 140V Xe2 GPU + 4 TOPS CPU) for OpenVINO & ROS 2 |
| Display & Optics | Exposes Up to 3 Simultaneous Display Outputs (HDMI 2.1 / DisplayPort 1.4a / eDP) via 260-Pin Gold-Finger Edge Connector |
| Camera & Vision | High-Speed PCIe 4.0 / USB 3.2 Gen 2 Lanes for Multi-Camera RGB-D, Stereo Vision & LiDAR Robotics Ingestion |
| Measured Weight | 26.0g Bare Module / 94.0g w/ Active PWM Aluminum Heatsink (69.6 × 60.0mm Pocket Compute Card) |
| Battery & Runtime | Wide-Range 9V–20V DC / LiPo Battery Carrier Input (Ideal for Mobile Humanoids, Drones & Autonomous AMRs) |
| Connectivity & I/O | Exposes PCIe Gen4/Gen3 Lanes, 4× USB 3.2 (10Gbps), 8× USB 2.0, 2× SATA 3.0, I2C, UART & GPIO via Open Carrier Schematics |
| Sensors & Acoustics | 16GB On-Package LPDDR5X-8533 (~136.5 GB/s) + 64GB eMMC 5.1 Onboard + Lite Carrier / Full PCIe x4 Evaluation Boards |
⚖️ Side-by-Side Comparison: LattePanda Mu Ultra (Core Ultra 7 256V 115-TOPS Credit-Card Lunar Lake x86 AI Compute Module) vs. Edge Compute & DevKits Peers
Direct specification comparison against leading competing devices in the Edge Compute & DevKits category.
| Specification | LattePanda Mu Ultra (Core Ultra 7 256V 115-TOPS Credit-Card Lunar Lake x86 AI Compute Module) (Current) | NVIDIA Jetson Orin NX Super Edge AI DevKit → | Xiaozhi AI Voice Cube Pro (ESP32-S3 Open DevKit) → | Apple Mac mini (M5 Pro 64GB) Private AI Node → |
|---|---|---|---|---|
| Brand | DFRobot (LattePanda) | NVIDIA | Open Hardware Community | Apple |
| Retail Price | $499 | $499 | $12 | $1,799 |
| Editorial Rating | ||||
| Edge SoC | Intel Core Ultra 7 256V (8-Core Lunar Lake: 4× P-Cores @ 4.8GHz + 4× LP-E Cores, Configurable 17W–37W TDP) | NVIDIA Ampere GPU (1024 CUDA + 32 Tensor Cores) | Espressif ESP32-S3R8 (Dual-Core LX7 @ 240MHz + 8MB PSRAM) | Apple M5 Pro (14c CPU + 20c GPU + 16c Neural Engine) |
| AI Model Stack | 115 Total Platform INT8 TOPS (47 TOPS Intel NPU 4.0 + 64 TOPS Arc 140V Xe2 GPU + 4 TOPS CPU) for OpenVINO & ROS 2 | Runs Llama-3.2 8B / Qwen2.5-VL 7B / YOLO11 Locally | Edge ESP-SR Wake + Realtime Cloud Voice LLMs | MLX Accelerated Qwen3-32B / Llama-3.3-70B |
| Display / Optics | Exposes Up to 3 Simultaneous Display Outputs (HDMI 2.1 / DisplayPort 1.4a / eDP) via 260-Pin Gold-Finger Edge Connector | HDMI 2.1 / DP 1.4 (Up to 8K) | 1.28-inch Circular IPS LCD (240×240) / 0.96" OLED | Supports up to three 6K displays |
| Camera | High-Speed PCIe 4.0 / USB 3.2 Gen 2 Lanes for Multi-Camera RGB-D, Stereo Vision & LiDAR Robotics Ingestion | Dual MIPI CSI-2 Camera Lanes + 4× USB 3.2 | Optional OV2640 / GC2145 Camera Module | External USB-C / Studio Display Camera |
| Weight | 26.0g Bare Module / 94.0g w/ Active PWM Aluminum Heatsink (69.6 × 60.0mm Pocket Compute Card) | 450g (including active heatsink & carrier board) | 62g (with 3D-printed enclosure & speaker cavity) | 730g |
| Battery | Wide-Range 9V–20V DC / LiPo Battery Carrier Input (Ideal for Mobile Humanoids, Drones & Autonomous AMRs) | 19V DC Input (15W–40W configurable TDP) | 800mAh LiPo (5h continuous dialogue) | Internal 155W PSU (4W idle draw) |
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