Green Computing with Remote GPU for AI Training with Image Data

In this report, we evaluate the feasibility of remote storage for AI training by connecting two sites via APN and using image data for Unet-3D model training to assess storage access performance. Through this, we aim to verify the effectiveness of APN in maintaining practical training time in a distributed environment.

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PoC Report Participants:

NTT DOCOMO BUSINESS, Inc.

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In this report, we evaluate the feasibility of remote storage for AI training by connecting two sites via APN and using image data for Unet-3D model training to assess storage access performance. Through this, we aim to verify the effectiveness of APN in maintaining practical training time in