Article 5A4YH AI Workflow Scalability through Expansion

AI Workflow Scalability through Expansion

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from High-Performance Computing News Analysis | insideHPC on (#5A4YH)
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In this special guest feature, Tim Miller, Braden Cooper, Product Marketing Manager at One Stop Systems (OSS), suggests that for AI inferencing platforms, the data must be processed in real time to make the split-second decisions that are required to maximize effectiveness. Without compromising the size of the data set, the best way to scale the model training speed is to add modular data processing nodes.

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