English(EN) SenseTime's SenseCore Details Prefill/Decode Split Clusters for Agentic Inference

SenseTime详解用于Agentic推理的SenseCore架构

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-19 06:59

SenseTime详细介绍了其SenseCore架构，该架构将Prefill和Decode操作分离，用于Agentic推理。该方法利用KV缓存连接两个阶段，据报道在测试中实现了高达五倍的Token吞吐量提升。该公司目标是在2026年第四季度将每日Token处理能力扩展到6到10万亿之间。 AI

影响这种架构分离可以提高Agentic AI系统的效率和速度。

排序理由该条目描述了推理的技术架构细节，而非新的模型发布或核心研究。

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Newsworthiness bucket: Tool; 该条目描述了推理的技术架构细节，而非新的模型发布或核心研究。
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Pandaily TIER_1 English(EN) · [email protected] (Pandaily) · 2026-10-19 06:59

商汤SenseCore详解Agentic推理的Prefill/Decode拆分集群

At CSDI Summit, SenseCore described domestic Prefill and high-bandwidth Decode linked by KV Cache, about 5x token throughput in one test, and a path from 6 to 10 trillion tokens a day by Q4 2026.