# How to get Roboflow Inference working in desktop GPU?

**URL:** <https://discuss.roboflow.com/t/how-to-get-roboflow-inference-working-in-desktop-gpu/11694>\
**Category:** 🤝  Community Help\
**Created:** [January 11, 2026, 9:35am UTC](https://discuss.roboflow.com/t/how-to-get-roboflow-inference-working-in-desktop-gpu/11694 "2026-01-11T09:35:07Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Vivek\_Rajasekaran](https://yyz1.discourse-cdn.com/flex029/user_avatar/discuss.roboflow.com/vivek_rajasekaran/32/8919_2.png) [@Vivek\_Rajasekaran](https://discuss.roboflow.com/u/Vivek_Rajasekaran)\
**Post date:** [January 11, 2026, 9:35am UTC](https://discuss.roboflow.com/t/how-to-get-roboflow-inference-working-in-desktop-gpu/11694/1 "2026-01-11T09:35:07Z")

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I have trained a Yolov11 model for a segmentation task. I am using it for inference with the Roboflow Inference application on my Windows desktop. The inference takes too long to run (around 8 seconds) I have an RTX 4080 GPU but it looks like Rofoflow Inference server is running only on my CPU which might be the reason behind the slowness. Please let me know how I can ensure that the GPU is being used and any other troubleshooting tips to investigate the slowness.

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**Author:** ![Grzegorz](https://yyz1.discourse-cdn.com/flex029/user_avatar/discuss.roboflow.com/grzegorz/32/2877_2.png) [@Grzegorz](https://discuss.roboflow.com/u/Grzegorz)\
**Post date:** [January 12, 2026, 2:41pm UTC](https://discuss.roboflow.com/t/how-to-get-roboflow-inference-working-in-desktop-gpu/11694/2 "2026-01-12T14:41:43Z")

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Hi @Vivek_Rajasekaran ,

Please confirm if my assumption is correct - are you running inference in docker under linux?

If so, you need to provide extra parameters to `docker run` in order to make the GPU available from the within docker.

For example, if you pulled [roboflow/roboflow-inference-server-gpu:0.63.5](https://hub.docker.com/r/roboflow/roboflow-inference-server-gpu/tags), you can try below to start inference server with GPU:

```auto
docker run -it --rm --privileged --gpus=all roboflow/roboflow-inference-server-gpu:0.63.5

```

You can quickly verify if GPU is available from within docker container by running `nvidia-smi`

```auto
docker run -it --rm --privileged --gpus=all --entrypoint /bin/bash roboflow/roboflow-inference-server-gpu:0.63.5 -c nvidia-smi

```

Hope this helps,

Grzegorz

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**Author:** ![system](https://canada1.discourse-cdn.com/flex029/uploads/roboflow1/original/1X/bb6edbfa56d0cf2ee603f061e9e09103502cc8cc.png) [@system](https://discuss.roboflow.com/u/system)\
**Post date:** [February 2, 2026, 2:42pm UTC](https://discuss.roboflow.com/t/how-to-get-roboflow-inference-working-in-desktop-gpu/11694/3 "2026-02-02T14:42:38Z")

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