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Why AI Infrastructure Is the Real Foundation for Machine Learning at Scale
Building for Scale Means Rethinking the Stack When I started working with machine learning models back in 2017, the biggest headache was just getting training data to fit in memory. We would cobble together a few GPU servers, pray the cooling held up, and call it a day. Fast forward to today, and the conversation has shifted entirely. It is no longer about whether a single server can handle a workload. It is about whether your entire system - from the silicon to the network
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