English(EN) Who owns the LLM? 28 AIOps products compared

AIOps供应商主要控制大型语言模型集成，限制客户选择

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-04 04:35

对28款AIOps产品的审查显示，大多数供应商为客户管理大型语言模型集成，其中13款产品在使用模型方面没有选择。虽然一些供应商允许客户接入自己的模型，但这通常意味着在客户账户下使用公共云提供商，而不是本地硬件。开源代理和本地部署是例外，供应商越来越专注于提供代理并允许客户连接他们偏好的模型。 AI

影响寻求AIOps数据隐私的客户可能需要部署本地版本或使用特定的开源代理。

排序理由对AIOps产品关于大型语言模型集成选择的分析。

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: 32 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 对AIOps产品关于大型语言模型集成选择的分析。
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: product, 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: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

dev.to — LLM tag TIER_1 English(EN) · Linhao Liu · 2026-11-04 04:35

谁拥有大型语言模型？28款AIOps产品对比

<p>If you build AI features for an AIOps product, a customer will ask "can we use our own LLM?" sooner or later. What they want is clear: keep the data private and under their control, and still get useful answers from the LLM. </p> <p>The strongest models mostly sit behind publi…