Copilot+ PC with Power-Packed AI
The Cubi NUC AI+ Series Mini PC comes in a palm-sized case measuring 119.60 x 115.20 x 37.50 mm (0.51-liter), with a much smaller performance trade-off than laptops.
A Copilt+ PC equipped with a built-in Intel® AI Boost NPU, the Cubi NUC AI+ Series provides users with a powerful AI-enhanced experience.
Secure Fingerprint Access with AI Integration
Quickly and securely unlock the Cubi NUC AI+ 3MG using a one-touch fingerprint button for easy access to its full AI capabilities.
4-Display Support with Thunderbolt 4
The rear I/O panels include two Thunderbolt 4 ports and two HDMI 2.1 ports, supporting quadruple-monitor setups for improved workflow efficiency or previewing e-commerce content.
Dual 2.5G LAN
Network connectivity includes dual 2.5G Ethernet LAN and Wi-Fi 7 supporting.
dTPM 2.0 (discrete Trusted Platform Module) hardware technology provides security for storing sensitive data & passwords.
Kensington Lock slot included.
MSI Power Link, Tool-less Design, PCR, MSI Power Meter
Tool-less & Cable Organizer
Three-step toolless design enables quick component upgrades and routine servicing, saving time and simplifying maintenance.
The built-in Cable Organizer prevents accidental disconnections and ensures stable connections even in tight or vibration-prone environments.
MSI Power Link
The MSI Power Link allows the power button of MSI-selected monitors to turn on/off the Cubi NUC AI+ Series.
The chassis is VESA-mountable (standard 100x100 & 75x75), transforming a standard compact desktop layout into an ultra-minimalist, distraction-free environment.
External power switch (optional) enhances the convenience of turning on the computer.
Sustainable Design
Made with PCR (Post-consumer Recycled) plastic materials.
Reduce waste by using a recycled molded pulp tray packing design.
Manufatured with 99% of renewable energy in factory.
MSI Power Meter & MSI AI Engine
Power Meter enables one-click power saving, carbon emission calculation & electricity cost estimation.
MSI AI Engine offers multiple optimizations to reduce workload.