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[GH-ISSUE #10619] ollama ps显示GPU100%，任务管理器显示GPU无占用 #6987

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opened 2026-04-12 18:52:57 -05:00 by GiteaMirror · 2 comments
GiteaMirror commented 2026-04-12 18:52:57 -05:00
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Originally created by @zhz-hh-boy on GitHub (May 8, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/10619

What is the issue?

R7 7735H+8GB*2+RTX4050Laptop
运行时ollama ps截图，任务管理器截图及日志文件如下：
Ollama.zip
Image
Image

Relevant log output

OS

Windows

GPU

Nvidia

CPU

AMD

Ollama version

0.6.8

Originally created by @zhz-hh-boy on GitHub (May 8, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/10619 ### What is the issue? R7 7735H+8GB*2+RTX4050Laptop 运行时ollama ps截图，任务管理器截图及日志文件如下： [Ollama.zip](https://github.com/user-attachments/files/20100623/Ollama.zip) ![Image](https://github.com/user-attachments/assets/abb2d7cb-56a5-4f32-80fc-259a98ed275f) ![Image](https://github.com/user-attachments/assets/99d2472b-9e26-4c80-8e56-6e91d3a8ea92) ### Relevant log output ```shell ``` ### OS Windows ### GPU Nvidia ### CPU AMD ### Ollama version 0.6.8
GiteaMirror added the bug label 2026-04-12 18:52:57 -05:00
GiteaMirror commented 2026-04-12 18:52:58 -05:00
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@rick-github commented on GitHub (May 8, 2025):

ollama ps显示GPU100%，任务管理器显示GPU无占用

ollama ps does not show GPU 100%. olllama has loaded 81% of the model in VRAM, 19% in system RAM because it didn't thiink there was enough VRAM to host the model. Server logs will show memory calculations.

<!-- gh-comment-id:2862822219 --> @rick-github commented on GitHub (May 8, 2025): > ollama ps显示GPU100%，任务管理器显示GPU无占用 ollama ps does not show GPU 100%. olllama has loaded 81% of the model in VRAM, 19% in system RAM because it didn't thiink there was enough VRAM to host the model. [Server logs](https://github.com/ollama/ollama/blob/main/docs/troubleshooting.md#how-to-troubleshoot-issues) will show memory calculations.
GiteaMirror commented 2026-04-12 18:52:58 -05:00
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@mu-dan commented on GitHub (May 9, 2025):

ollama ps显示GPU100%，任务管理器显示GPU无占用

ollama ps 不显示 GPU 100%。olllama 在 VRAM 中加载了 81% 的模型，在系统 RAM 中加载了 19% 的模型，因为它没有足够的 VRAM 来托管模型。服务器日志将显示内存计算。

In this case, can it be understood that the hardware performance of the server where you are ollama does not support this model (insufficient resources)
出现这种情况，是不是可以理解为，你ollama所在的服务器硬件性能不支持这个模型（资源不够）

<!-- gh-comment-id:2864872526 --> @mu-dan commented on GitHub (May 9, 2025): > > ollama ps显示GPU100%，任务管理器显示GPU无占用 > > ollama ps 不显示 GPU 100%。olllama 在 VRAM 中加载了 81% 的模型，在系统 RAM 中加载了 19% 的模型，因为它没有足够的 VRAM 来托管模型。[服务器日志](https://github.com/ollama/ollama/blob/main/docs/troubleshooting.md#how-to-troubleshoot-issues)将显示内存计算。 In this case, can it be understood that the hardware performance of the server where you are ollama does not support this model (insufficient resources) 出现这种情况，是不是可以理解为，你ollama所在的服务器硬件性能不支持这个模型（资源不够）
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