2024 | Professional

MUSE Design Awards Gold Winner

PIANO Portable Multi-port Ethernet / OTN Testing Platform

Entrant Company

SHANGHAI HYWICOM TECHNOLOGY LTD.

Category

Product Design - Computer & Information Technology

Client's Name

HELI (Shanghai) Technology Co.,Ltd.

Country / Region

China

PIANO Portable AI Network Testing Platform, developed by HYWICOM, is a revolutionary portable AI network testing solution designed to meet the rising demands for computing power testing in the AI era. It integrates the following key features:

Ultimate Portability and Durability: Lightweight design with a stand and handle to adapt to various testing environments.

HD Touchscreen: An 11.6-inch capacitive screen with a brightness of up to 1000 nits ensures clear visibility outdoors.

Multi-Port 800G Innovation: The world’s first 8-port 800G capability for AI network testing, 8 times that of the current market’s single-port 800G solutions, leading the industry in port density.

Efficient Cooling System: Innovative cooling technology to handle the thermal challenges of multi-port high loads.

Dual Batteries and Dual Power Sources: Equipped with dual built-in batteries and external power supply, achieving worry-free endurance and eliminating battery anxiety.

Modular Dual Slots: Flexible configuration of different test modules to meet complex AI network testing needs.

Optimized User Interface: Simplified operation processes significantly enhance work efficiency.

Design Highlights: Integrated armored frame, exoskeleton shock absorption, and "H" pattern heat dissipation grille enhance protection and cooling efficiency.

Innovative Structure: Integrated corner design and hidden anti-slip stand strengthen structure and portability.

Eco-friendly Materials: High proportion of recycled aluminum and modular design promote sustainable use.

PIANO Portable AI Network Testing Platform not only revolutionizes the convenience and efficiency of network testing but also demonstrates a commitment to environmental sustainability, representing a significant leap forward in the field of AI network testing.

Credits

NA MI
QINGWEI ZHAO
MING MENG
YUJIA XING
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