Specifications
CPU
Model: Rockchip RK3528A Number of Cores: Quad-core Frequency: 4 x ARM Cortex-A53 Up to 1.8GHz
GPU
ARM Mali-450 GPU
VPU
4K H265/H264 60fps decoding
RAM
RAM:1GB/2GB LPDDR4/LPDDR4X
Connectivity
1 x Ethernet: Native Gigabit Ethernet, RTL8211F chips
Storage
Flash: Supports eMMC Module 1 x MicroSD Slot: MicroSD for external storage up to 128GB
USB Host
1 x USB 3.0 Host: 3.0 Type A 1 x USB-C: USB 2.0 Device Type-C
Audio input/output Port
Speaker: 4-Pin 1.27/1.25mm connector for stereo Speakers
GPIO
1 x GPIO: 26-pin FPC GPIO connector 1 x Debug UART: 3 Pin 2.54mm header, 3V level, 1500000bps
Button
1 x GPIO Button 1 x MASK Button for eMMC upgrade
LED
1 x SYS LED(Red) 1 x LED1(Green)
RTC
2-Pin 1.27/1.25mm RTC battery input
PCB Dimension
8 Layer 48x48x1.2mm(without Case) / 54x52.5x25mm(with Case) 21.5g(without Case) / 87.2g(with Case)
Power
DC 5V/2A, via USB-C connector or 2.54mm Header
Working temperature
0℃ to 70℃
Kernel version
Linux-6.1-LTS U-boot-2017.09
OS Support
Alpine Linux Buildroot Debian 12 Core FriendlyWrt 21.02 FriendlyWrt 23.05 FriendlyWrt 24.10 OpenMediaVault Proxmox VE Ubuntu 24.04 Core
Overview
The FriendlyElec NanoPi NEO3 Plus is a Rockchip RK3528A-based edge ai sbc from FriendlyElec's NanoPC / NanoPi Series. Every specification in the table above is transcribed from the manufacturer's own technical data for this exact model.
It ships with FriendlyElec's FriendlyCore (Ubuntu) and FriendlyWrt (OpenWrt) images plus Android options, so the board is usable as an industrial controller, an edge-AI node or a network appliance without a bring-up cycle. Onboard eMMC, an M.2 expansion socket and a 2.54 mm GPIO header make it straightforward to integrate into a product enclosure.
Key Benefits
Rockchip SoC platform with a proven Linux BSP. Onboard eMMC + microSD for a robust, card-less root filesystem. M.2 and GPIO expansion for NVMe, Wi-Fi or cellular add-ons. FriendlyCore / FriendlyWrt / Android images maintained by the vendor. Industrial operating range for embedded and edge deployments.
Applications
Edge AI inference nodes, embedded industrial controllers, machine-vision front ends, digital-signage and kiosk compute, NAS and media servers, robotics controllers, and general ARM/Linux product prototyping.
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