Unverified50% confidenceFactExact time
GPU-CPU synchronization has unpredictable blocking times under high concurrency, potentially introducing hundreds of microseconds or even millisecond-level additional wait times on certain requests.
1
Sources
50%
Confidence
Long-term
Relevance
9/7/2026
First Seen
Sources
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Related Claims
UnverifiedBatch inference (Batching) combines multiple requests within a short time into a single batch, which can significantly improve GPU throughput, but introduces additional queuing latency and requires trade-offs based on latency tolerance.75% similarUnverifiedThe cold-start latency when a model is first loaded onto a GPU can be tens of times the steady-state inference latency, which has a significant impact on serverless deployment scenarios.72% similarUnverified连续批处理（Continuous Batching）解决GPU利用率问题，防止序列长度不齐导致的算力浪费70% similarUnverifiedModern large model inference typically uses batching technology to improve GPU utilization, and backlogs in the batching queue during peak periods cause the time to first token (TTFT) to become longer.70% similar
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