Unverified50% confidenceDecision RuleExact time
BEINGS页面仅持有一个worker，所有生成请求排队串行执行，以避免多个角色同时调用模型导致加载多份副本或GPU争抢。
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/17/2026
First Seen
Valid until: 1/15/2027
Sources
Related Entities
Related Claims
UnverifiedThe num_workers parameter in PyTorch's DataLoader can run multiple data loading workers in parallel, avoiding data starvation during GPU training.64% similarVerifiedContinuous batching allows new requests to be inserted and completed requests to be removed at any iteration step, keeping the GPU running at full load at every step.63% similarUnverifiedvLLM dynamically schedules across requests via continuous batching to avoid GPU idling, and pairs this with PagedAttention to compress cache overhead.60% similarUnverifiedFiltering should be done on the retrieval side, pushing task constraints down to wherever the source can support them (fetch by ID, filter by user, apply date ranges), and only returning the fields the question needs; you should not send every page to the model just because the upstream API paginates.59% similarUnverifiedWorkerman采用常驻内存的方式运行，避免了每次请求都需要重新加载框架和初始化资源的开销59% similar
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