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English(EN) Ollama processes multiple requests sequentially by default, not in parallel. A fourth concurrent query waited 8.3 seconds while the same task took 2.1 seconds a

Ollama 顺序处理 AI 请求,影响多用户性能

Ollama 是一个用于在本地运行开源 AI 模型的平台,它默认顺序处理请求,而非并发处理。这意味着多个用户或任务可能会遇到显著延迟,第四个查询花费超过 8 秒,而单个任务仅花费略高于 2 秒。用户可能需要调整配置以提高同时使用的性能。 AI

影响 本地运行开放模型的用户可能需要重新配置 Ollama 设置,以有效地处理多个同时进行的请求。

排序理由 该条目讨论了一个特定 AI 软件工具的性能特征,而非前沿发布或重要的行业事件。

在 Mastodon — mastodon.social 阅读 →

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

Ollama 顺序处理 AI 请求,影响多用户性能

本文如何被排名

Signal score
9 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该条目讨论了一个特定 AI 软件工具的性能特征,而非前沿发布或重要的行业事件。
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
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。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · schuler ·

    Ollama 默认按顺序处理多个请求,而非并行。第四个并发查询等待了 8.3 秒,而同一任务耗时 2.1 秒

    Ollama processes multiple requests sequentially by default, not in parallel. A fourth concurrent query waited 8.3 seconds while the same task took 2.1 seconds alone. Teams running open models on local hardware may need to reconfigure settings to handle simultaneous users. https:/…