Unverified50% confidenceDecision RuleExact time
For production systems serving MoE models, the single decoding pipeline should be replaced with a prefill-decode disaggregated architecture, feeding the full-model KV cache directly into the pruned decoder.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
UnverifiedSlimWise prunes experts only during the decoding stage, and hands the complete KV cache generated during the prefill stage directly to the pruned decoder.69% similarUnverifiedIn bidirectional attention models (such as BERT encoders), each token's representation is affected by the entire text, so prefix KV cannot be reused independently; therefore Prompt Caching mainly appears on generative large models rather than encoder models.65% similarUnverifiedTechniques such as speculative decoding and KV cache optimization can reduce the computational cost per request.65% similarUnverifiedDecode 阶段属于访存密集型操作，每生成一个新 token 需从显存读取全部历史 token 的 KV Cache65% similarUnverifiedProcessing input can spread out computational costs through mechanisms such as KV Cache, whereas generating each output token requires a full forward inference pass.64% similar
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