OverviewThe UP Nexus WCL (UPN-WCL) is a compact edge AI developer board built for developers and system integrators. Powered by Intel® Core™ Series 3 processors, it offers high-performance compute, onboard LPDDR5 memory, onboard UFS storage and multiple high-speed I/O options to support AI inference, industrial and embedded applications.
Key features- Intel® Core™ processors (Series 3)
- Onboard LPDDR5 memory up to 48GB
- Onboard UFS storage up to 256GB
- Dual 2.5GbE Ethernet (Intel® I226-IT)
- USB 3.2 Type-A x2; USB 3.2 Gen 2x2 Type-C x1
- HDMI 2.1 x2; DisplayPort 1.4a via USB Type-C
- 40-pin GPIO header for sensors and peripherals
- RS-232/422/485 interfaces via 10-pin headers x2
- M.2 slots: 2230 E-Key, 2280 M-Key (NVMe), 2242 M-Key
- 12V–24V DC-in for industrial power ranges
Product descriptionThe UP Nexus WCL provides a compact single-board computer platform optimized for edge AI workloads and embedded deployments. Its modern CPU architecture and high-speed LPDDR5 memory enable efficient AI inference and compute tasks, while onboard UFS and M.2 NVMe support deliver fast local storage. Multiple 2.5GbE ports and flexible USB connectivity—including Gen2x2 Type-C with DisplayPort support—facilitate high-throughput network and peripheral integration. Legacy serial headers and expanded GPIO make the board suited for industrial automation, sensor integration and system integration projects.
Characteristics / Technical specifications- Model: UP Nexus WCL (UPN-WCL)
- Processor family: Intel® Core™ Series 3 (formerly Wildcat Lake)
- Memory: Onboard LPDDR5 up to 48GB
- Storage: Onboard UFS up to 256GB; M.2 2280 M-Key (NVMe); M.2 2230 E-Key (Wi‑Fi/BT); M.2 2242 M-Key
- Networking: Dual 2.5GbE (Intel® Ethernet Controller I226-IT) x2
- USB: USB 3.2 Type-A x2; USB 3.2 Gen 2x2 Type-C x1 (DP 1.4a via Type-C)
- Display: HDMI 2.1 (TMDS) x2; DisplayPort 1.4a over USB Type-C
- Serial: RS-232/422/485 via 10-pin header x2
- Expansion / GPIO: 40-pin GPIO header x1
- Power input: 12V–24V DC-in
- Target applications: Edge AI development, embedded systems, industrial automation, system integration