Unverified50% confidenceFactExact time
Existing P/D disaggregation systems typically employ fixed prefill/decode worker ratios combined with request routing for load distribution, which leads to latency SLO violations when workload demand ratios fluctuate.
1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
Sources
Related Entities
Related Claims
Unverified评估中转服务可用性时应关注 P99 延迟,高并发峰值期间的长尾延迟往往比均值数据更影响交互式编程的实际体验64% similarUnverifiedCommon bottleneck sources in the control plane include state storage read/write latency, task queue buildup, lock contention, and cascading latency from cross-service calls63% similarUnverified通过分析 sys.dm_os_wait_stats 中各类等待类型可快速定位系统瓶颈,PAGEIOLATCH 表示 IO 压力、CXPACKET/CXCONSUMER 表示并行执行问题、WRITELOG 表示日志 IO 瓶颈62% similarUnverifiedThe time a maintainer spends identifying and correcting low-quality PRs can far exceed the time it would take to write the code themselves, and this reverse drain is a key factor in burning out maintainers.62% similarVerifiedThe prefill stage of Transformer inference is primarily bottlenecked by compute (FLOPS), while the decode stage is primarily bottlenecked by memory bandwidth.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/983072API
curl https://kongchang.com/api/v1/knowledge/claims/983072MCP
get_claim(id=983072)