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English(EN) step 5 throughput more than tripled as we optimized the serving stack against stepfun’s ttft + tps targets

Together 通过优化服务堆栈将推理吞吐量提高三倍

Together 是一个人工智能研究组织,显著提高了其推理服务堆栈的性能。通过优化路由、调度、内核和稀疏注意力机制等各种组件,他们实现了三倍以上的吞吐量增长。这些优化经过严格的基准测试,代理协助寻找针对首次标记时间和每秒事务数的特定目标的改进。 AI

影响 提高推理效率可以更快、更经济高效地部署人工智能模型。

排序理由 来自非前沿人工智能实验室的基础设施优化公告。

在 X — Together (inference / OSS) 阅读 →

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

Together 通过优化服务堆栈将推理吞吐量提高三倍

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
Tool
来自非前沿人工智能实验室的基础设施优化公告。
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
infra, product
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
7 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。

报道来源 [1]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    优化服务堆栈以实现stepfun的ttft+tps目标后,第五步吞吐量增加两倍多

    step 5 throughput more than tripled as we optimized the serving stack against stepfun’s ttft + tps targets agents helped search across moe routing, scheduling, kernels, spec decode + sparse attention, with every change benchmarked before moving to the next https://t.co/TTbLH9aV7…