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怎样优化大模型API服务的响应延迟？

2025-08-29

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API延迟优化全方案

针对Chitu的HTTP服务接口，可实施以下优化措施:

预编译技术: Enableinfer.use_cuda_graph=True消除核函数编译开销，实测可减少首token延迟40%
Batch optimization: Adjustmentsrequest.batch_size参数平衡吞吐与延迟，推荐值8-16
memory management: Settingsinfer.kv_cache_max限制KV缓存大小，防止OOM导致的重新计算

hardware acceleration：在支持NVLink的GPU上启用infer.fast_attention=True加速注意力计算

测试方法论：使用内置benchmark_serving.py工具，关注latency_p50cap (a poem)first_token_time指标。建议对比FP8/BF16两种模式下的延迟表现，选择最优配置。

This answer comes from the articleChitu (Red Rabbit): A High-Performance Large Language Modeling Reasoning Framework Launched by Tsinghua TeamThe

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