Unlocking the new era of AI, Avnet leads the way to a smarter future: Unlimited possibilities in one box
The accelerating global digitalization and intelligentization are driving computing architectures to the edge. At the same time, AI, the core engine driving all intelligence, is increasingly integrated with edge computing. This shift reflects the growing demand for efficiency, speed, and security in applications.
The core of edge computing lies in "near-source processing," meaning processing data close to where it's created. By deploying computing power to the edge of the network, data transmission time can be significantly reduced, thereby optimizing response speeds and minimizing latency. Furthermore, edge computing can effectively reduce the burden on data centers and improve overall system efficiency.
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Edgeboard AI Box
Promoting the implementation of edge intelligence
To accelerate the development of artificial intelligence and enhance edge computing technology capabilities, Avnet launched the Edgeboard AI Box solution , which features a fanless design and provides powerful processing capabilities in a compact form factor of 15cm×11.5cm×7cm.
The Edgeboard AI Box's most significant feature is its on-device data processing capabilities. By
running AI algorithms directly on devices like sensors, smartphones, or specialized hardware, rather than relying solely on cloud servers
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it significantly accelerates data processing, improving performance and response time while reducing latency. This localized processing improves power efficiency and security, and reduces transmission demands on data centers, resulting in significant cost savings.
The Edgeboard AI Box is powered by the AMD Zynq ™ UltraScale+ ™ MPSoC development board. Built on a general-purpose real-time processor and programmable logic platform, it combines the scalability and real-time control of a 64-bit processor to enable more efficient graphics, video, waveform, and packet processing. Furthermore, equipped with DDR memory, 1G Ethernet, USB 3.0, and HDMI video output, it meets the needs of diverse I/O applications, making it particularly suitable for multi-channel video processing and custom AI model implementations.
In terms of system development, the solution supports the Linux operating system and is equipped with AMD VVAS. Users can use the AI models in the Model Zoo for application development and deployment.
With its exceptional performance and versatility, the Edgeboard AI Box demonstrates strong innovative potential across multiple sectors. It not only supports a wide range of applications, including multi-channel monitoring and industrial vision, but also allows for the flexible deployment of custom AI models to meet diverse needs. In industrial environments, the Edgeboard AI Box can be installed on-site, ensuring operational continuity and privacy protection in environments with limited or no network connectivity.
Conclusion
Avnet has many years of experience in artificial intelligence, machine vision, and edge computing, and possesses a comprehensive portfolio. The newly launched Edgeboard AI Box accelerates the implementation of edge intelligence and empowers digital transformation across various industries. Avnet will continue to closely monitor market trends and help customers seize potential business opportunities.
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