gpu: mention Docker Model Runner (#23810)

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## Description

Mention Docker Model Runner to test the GPU on Windows with NVIDIA
platforms.

<img width="952" height="603" alt="Screenshot 2025-12-04 at 17 33 12"
src="https://github.com/user-attachments/assets/92d68d8d-097e-4599-9e73-12121f495359"
/>


## Reviews

<!-- Notes for reviewers here -->
<!-- List applicable reviews (optionally @tag reviewers) -->

- [ ] Technical review
- [ ] Editorial review
- [ ] Product review

---------

Signed-off-by: Dorin Geman <[email protected]>
Co-authored-by: Allie Sadler <[email protected]>

Author: doringeman

content/manuals/desktop/features/gpu.md

@@ -63,16 +63,32 @@ GPU Device 0: "GeForce RTX 2060 with Max-Q Design" with compute capability 7.5
 = 2724.379 single-precision GFLOP/s at 20 flops per interaction
 ```
 
-## Run a real-world model: Llama2 with Ollama
+## Run a real-world model: SmolLM2 with Docker Model Runner
 
-Use the [official Ollama image](https://hub.docker.com/r/ollama/ollama) to run the Llama2 LLM with GPU acceleration:
+> [!NOTE]
+>
+> Docker Model Runner with vLLM for Windows with WSL2 is available starting with Docker Desktop 4.54.
+
+Use Docker Model Runner to run the SmolLM2 LLM with vLLM and GPU acceleration:
+
+```console
+$ docker model install-runner --backend vllm --gpu cuda
+```
+
+Check it's correctly installed:
 
 ```console
-$ docker run --gpus=all -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
+$ docker status
+Docker Model Runner is running
+
+Status:
+llama.cpp: running llama.cpp version: c22473b
+vllm: running vllm version: 0.11.0
 ```
 
-Then start the model:
+Run the model:
 
 ```console
-$ docker exec -it ollama ollama run llama2
+$ docker model un ai/smollm2-vllm hi
+Hello! I'm sure everything goes smoothly here. How can I assist you today?
 ```