Deutsch(DE) Fast, faster, Qwen. 🚀

阿里巴巴的Qwen3.5在代理工作负载上达到创纪录的580 tps

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-27 16:34

阿里巴巴的Qwen团队在TokenSpeed引擎上为代理工作负载创造了每秒580万亿个token的新纪录。这一显著的性能提升是在几家关键合作伙伴的帮助下实现的。这一成就凸显了AI模型在复杂任务效率方面的进步。 AI

影响为代理工作负载设定了新的SOTA（State-of-the-Art），可能加速AI代理的开发和部署。

排序理由前沿实验室（阿里巴巴/Qwen）宣布新的模型性能里程碑。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 前沿实验室（阿里巴巴/Qwen）宣布新的模型性能里程碑。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 90 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

X — Qwen (Alibaba) TIER_1 Deutsch(DE) · Alibaba_Qwen · 2026-05-27 16:34

快，更快，Qwen。

Fast, faster, Qwen. 🚀 Thrilled to see Qwen3.5 reaching a record-breaking 580 tps for agentic workloads on the TokenSpeed engine! This milestone wouldn't be possible without our incredible partners. Huge thanks to @lightseekorg, @NVIDIAAI, the Mooncake team, and @tri_dao for