Unlock Every Dimension of AI Performance with NUC(S) Ultra 300 BOX Series

Compact AI computing continues to evolve, and ASRock Industrial expands what’s possible at the edge with the NUC(S) Ultra 300 BOX Series, powered by Intel® Core™ Ultra Series 3 processors. Designed to deliver balanced AI acceleration across CPU, GPU, and NPU, the series enables up to 180 TOPS of AI inferencing performance in an ultra-compact form factor. With advanced graphics, integrated AI engines, and next-generation connectivity, the NUC(S) Ultra 300 BOX Series empowers users to scale AI performance across commercial, creative, and development environments, unlocking new dimension of productivity, responsiveness, and innovation.

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NUC Ultra 300 BOX Series

- Powered by Intel® Core™ Ultra Series 3 Processors with integrated CPU, GPU, and NPU acceleration.
- Supports up to 128GB DDR5 memory and dual M.2 storage for high-speed AI inference and data processing.
- Delivers quad-display output up to 8K, ideal for multi-screen AI visualization and immersive content.
- Features dual 2.5GbE LAN, Wi-Fi7, USB4 / Thunderbolt™ 4, and rich I/O for high-bandwidth connectivity.
- Available Models: NUC BOX-358H, NUC BOX-325

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NUCS Ultra 300 BOX Series

- Powered by Intel® Core™ Ultra Series 3, enabling efficient AI performance in a slim system design.
- Supports high-speed DDR5 memory, dual M.2 storage
- Provides quad-display capability, supporting advanced visualization in space-constrained environments.
- Integrates Wi-Fi7, USB4 /Thunderbolt™ 4, and versatile I/O for modern edge connectivity.
- Available Models: slim type NUCS BOX-358H, NUCS BOX-325

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NUC Ultra 300 Motherboard Series

The NUC-358H and NUC-325 motherboards extend the NUC Ultra 300 platform into highly customizable embedded designs. Supporting Intel® Core™ Ultra Series 3 processors, up to 128GB DDR5 memory, dual 2.5G LAN, and quad-display output, these NUC form factor motherboards enable system integrators to build tailored AI and edge computing solutions. With rich I/O, Intel® PTT security, and wide power input support, they serve as a flexible foundation for compact AI systems, industrial edge devices, and next-generation embedded platforms.

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