Webinar Held on the Theme: 'Do You Have Enough Installation Space for AI Edge Servers/PCs You Want to Place Near or Inside Equipment?'

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Expanding Use of AI Edge Servers/PCs AI utilization is rapidly advancing in various fields, starting with manufacturing and infrastructure. The demand for "AI edge servers/PCs" that process data on-site, for applications like automated visual inspection, predictive maintenance, and real-time analysis, is increasing year by year.

Edge computing environments, which process data near or within equipment, are once again drawing attention due to the need for low-latency processing that is difficult to achieve with cloud integration alone, as well as for addressing security and communication load concerns.

Want to Place Near Equipment, But Installation Space is Limited However, when trying to introduce AI edge servers/PCs, the first hurdle is the issue of "placement space."

For example, when wanting to place a 19-inch rack-mount server in a limited space near equipment, or when wanting to embed an AI edge PC within a control panel or inside equipment, installation space becomes a major challenge.

The depth of the control panel is insufficient. Only the same space as the previous industrial PC can be used. There is far less room around the equipment than imagined.

On the other hand, performing AI processing on-site requires a certain level of computational performance and expandability. Trying to meet performance demands can lead to the chassis not fitting. If you finally think you've met the conditions, the GPU performance might be excessive, causing costs to skyrocket – have you experienced this?

Within limited space, "being able to fit" and "having appropriate performance" are key. Furthermore, ensuring reliability that can withstand on-site environments, such as vibration, temperature, and long-term stable operation, are important points when selecting AI edge servers/PCs.

Selecting AI Edge Servers Considering Compact Design, High-Reliability Models, and Application-Specific Configurations This seminar will explain the key points for selecting AI edge servers/PCs, using examples such as "Eurotech's ReliaCOR series," which has a track record of adoption in environments requiring high reliability like automotive and railway sectors, and "InoNet's Mayflower series," featuring a short chassis design of 500mm or less in depth, making it easy to install in environments with limited chassis size.

From fanless AI edges equipped with Jetson Orin to short chassis GPU servers with depths of 500mm or less, we will explain how to balance installation space, performance requirements, reliability, and cost. We will introduce how to proceed with AI edge implementation tailored to your site, incorporating specific product configurations and application scenarios.

We will also organize the thinking process for selecting configurations according to their intended use, and the points to consider for each installation environment, such as near equipment, within control panels, and for automotive and railway applications.

Recommended for: - Those selecting AI edge servers/PCs to be installed near equipment or within control panels. - Those facing installation space constraints when replacing control panels or existing IPCs. - Those struggling with the balance of GPU performance, expandability, and cost within limited space. - Those considering high-reliability edge environments for applications like automotive, railway, and infrastructure. - Those who want to know how to select the optimal configuration based on application and installation environment.

Organizer/Co-organizer Advanet Inc. ■ Cooperation Eurotech SpA Majisemi Inc.

Click here for details and registration.

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