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English(EN) How many agents can 2×4090 actually run at once? Three weeks of llama.cpp concurrency data — soft cap 5 @ 64k, hard cap 9, and why.

双 RTX 4090:基准测试 AI 代理并发限制

一位用户对其双 RTX 4090 设置进行了基准测试,以确定可以同时运行的 AI 代理的最佳数量。测试表明,虽然系统理论上可以运行多达九个代理,但在运行五个代理后,性能会显著下降,尤其是在使用大型模型和系统内存带宽有限的情况下。用户发现,较小、更高效的模型提供了更好的每个代理响应时间,使其在代理工作流程中更实用,尽管可能存在细微的准确性差异。 AI

影响 提供了有关运行多个 AI 代理的硬件限制和最佳配置的实用见解。

排序理由 用户基准测试和硬件性能分析,用于运行多个 AI 代理。

在 r/LocalLLaMA 阅读 →

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

双 RTX 4090:基准测试 AI 代理并发限制

本文如何被排名

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用户基准测试和硬件性能分析,用于运行多个 AI 代理。
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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
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完整方法见我们的编辑标准

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Iamisseibelial ·

    2×4090 实际能同时运行多少个代理?llama.cpp 并发数据三周分析 — 软上限 5 @ 64k,硬上限 9,以及原因。

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wb35xo/how_many_agents_can_24090_actually_run_at_once/"> <img alt="How many agents can 2×4090 actually run at once? Three weeks of llama.cpp concurrency data — soft cap 5 @ 64k, hard cap 9, and why." src="htt…