2025-05-17
The YNH-732 is a cutting-edge AI motherboard built around Rockchip’s flagship RK3588 octa-core processor, engineered to deliver 6 TOPS of edge AI computing power for industrial, commercial, and multimedia applications.
Processor:
Rockchip RK3588 (4x Cortex-A76 @ 2.4GHz + 4x Cortex-A55 @ 1.8GHz)
NPU: 6 TOPS (INT8) for AI inference (TensorFlow/ONNX/PyTorch)
GPU: Arm Mali-G610 MC4 (supports OpenGL ES 3.2/Vulkan 1.2)
OS: Android 12 / Ubuntu 20.04 (Linux 4.19 kernel)
Memory:
4GB LPDDR4 (upgradable to 16GB)
64GB eMMC (expandable to 128GB)
Video Codecs:
Decode: 8K@60fps H.265/VP9/AV1
Encode: 8K@30fps H.265/H.264
Display Interfaces:
Interface | Resolution | Features |
---|---|---|
HDMI 2.1 OUT | 7680x4320@60Hz (8K) | HDR10+, HDCP 2.3 |
HDMI IN | 4K@60Hz pass-through | Video capture & overlay |
LVDS | 1920x1200@60Hz | Industrial panel support |
eDP 1.4 | 2560x1600@60Hz | Touchscreen integration |
MIPI-DSI | 2560x1440@60Hz | Camera/display dual-purpose |
Expansion Ports:
PCIe 3.0 x4 (supports NVMe SSD/5G modules)
2x SATA III (6Gbps) with RAID 0/1 support
USB 3.1 Gen1 Type-C (OTG mode)
Peripheral Support:
9x USB (1x USB 3.0 + 1x Type-C OTG + 7x USB 2.0)
5x serial ports (4x RS232 + 1x RS485)
GPIO: 12 channels (3.3V/5V tolerant)
Wired:
Gigabit Ethernet (RGMII interface)
PoE+ support (802.3at)
Wireless:
Wi-Fi 6 (802.11ax 2x2 MIMO) + Bluetooth 5.0
5G NR via M.2 3052 slot
Power Input: 12V DC (9~36V wide range)
Environmental:
Operating temperature: -20°C ~ +70°C
15kV ESD protection on I/O ports
Certifications: CE/FCC/RoHS compliant
Digital Signage: 8K video walls, interactive kiosks
Edge Computing: AI gateways, smart NVR systems
Industrial Automation: Machine vision controllers
Entertainment: Cloud gaming terminals, TV streaming boxes
This motherboard’s heterogeneous computing architecture (CPU+GPU+NPU) ensures seamless performance across AI inference, multimedia processing, and real-time control tasks.
Key Advantages:
8K Dual-Screen Control: Independent display management for complex workflows
Edge AI Optimization: Low-latency model deployment (≤5ms inference)
Scalable Storage: NVMe/SATA RAID configurations
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