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nk8620

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Moreover, for non-AI compute workloads, we offer only a single server type, equipped with one CPU and the same amount of DRAM (previously 64GB, now 256GB).

I'm reading something like this for the first time. Is this common across industry or only typical to Meta? In contrast, we use multiple instances for sub-components of our ML training pipeline.