[KongchangAI]
Unverified50% confidenceOpinionExact time

The drawbacks of the parameter server architecture are: when model parameters reach the hundred-billion level, the communication volume between workers and parameter servers is enormous, making network bandwidth a bottleneck; popular parameters tend to concentrate on a few nodes to form hotspots, causing load imbalance; and it is usually tightly coupled with training frameworks, making it difficult to perform low-level optimization for specific access patterns.

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50%
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Long-term
Relevance
11/3/2026
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