Unverified70% confidenceFactTime unknown
一个70亿参数的模型在RTX 4090上的推理延迟约为50-200ms
1
Sources
70%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
Unverified700亿参数（70B）的模型经量化后可以在单张RTX 4090（显存24GB）上运行77% similarUnverified小模型推理延迟约500ms，而向量匹配延迟仅30-100ms73% similarUnverified对于RTX 4090（24GB显存），WhichLLM可能会推荐Qwen3.6 27B的Q5量化版本，预计推理速度约为每秒27 Token72% similarUnverifiedRT-2的580亿参数方案推理延迟高达数秒，难以满足机器人实时控制的毫秒级响应需求71% similarUnverified第二阶段重排序的延迟开销大约在50-200毫秒，取决于候选数量和模型大小70% similar
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