Unverified50% confidenceOpinionExact time
The benefit of decoupling storage from the training framework is that the storage layer can be independently optimized for recommendation workloads, such as more efficient sharding strategies, cache designs closer to the hardware, and prefetch mechanisms targeting feature access patterns; the cost is increased system complexity, requiring standardization of the interface between storage and computation.
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11/3/2026
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