diff --git a/docs/docs/Integrations/Nvidia/integrations-nvidia-ingest.md b/docs/docs/Integrations/Nvidia/integrations-nvidia-ingest.md
index 17ff3b47a..fbfab46d6 100644
--- a/docs/docs/Integrations/Nvidia/integrations-nvidia-ingest.md
+++ b/docs/docs/Integrations/Nvidia/integrations-nvidia-ingest.md
@@ -1,5 +1,5 @@
 ---
-title:  Integrate Nvidia Ingest with Langflow
+title:  Integrate NVIDIA Ingest with Langflow
 slug: /integrations-nvidia-ingest
 ---
 
diff --git a/docs/docs/Integrations/Nvidia/integrations-nvidia-nim-wsl2.md b/docs/docs/Integrations/Nvidia/integrations-nvidia-nim-wsl2.md
new file mode 100644
index 000000000..a2c8c9c54
--- /dev/null
+++ b/docs/docs/Integrations/Nvidia/integrations-nvidia-nim-wsl2.md
@@ -0,0 +1,33 @@
+---
+title:  Integrate NVIDIA NIMs with Langflow
+slug: /integrations-nvidia-ingest-wsl2
+---
+
+Connect **Langflow** with **NVIDIA NIM** on an RTX Windows system with [Windows Subsystem for Linux 2 (WSL2)](https://learn.microsoft.com/en-us/windows/wsl/install) installed.
+
+[NVIDIA NIM](https://docs.nvidia.com/nim/index.html) provides containers to self-host GPU-accelerated inferencing microservices.
+This example deploys the `mistral-nemo-12b-instruct` NIM on an **RTX Windows system** with **WSL2** and uses it as a model component in **Langflow**.
+
+For more information on NVIDIA NIM, see the [NVIDIA documentation](https://docs.nvidia.com/nim/index.html).
+
+## Prerequisites
+
+* [NVIDIA NIM WSL2 installed](https://docs.nvidia.com/nim/wsl2/latest/getting-started.html)
+* A NIM container deployed. The prerequisites vary between models.
+For example, to deploy the `mistral-nemo-12b-instruct` NIM, follow the instructions for **Windows on RTX AI PCs (Beta)** on your [model's deployment overview](https://build.nvidia.com/nv-mistralai/mistral-nemo-12b-instruct/deploy?environment=wsl2.md)
+* [WSL2 installed](https://learn.microsoft.com/en-us/windows/wsl/install)
+* Windows 11 build 23H2 (and later)
+* At least 12 GB of RAM
+
+## Use the NVIDIA NIM in a flow
+
+To connect the NIM you've deployed with Langflow, add the **NVIDIA** model component to a flow.
+
+1. Create a [basic prompting flow](/get-started-quickstart).
+2. Replace the **OpenAI** model component with the **NVIDIA** component.
+3. In the **NVIDIA** component's **Base URL** field, add the URL your NIM is accessible at. If you followed your model's [deployment instructions](https://build.nvidia.com/nv-mistralai/mistral-nemo-12b-instruct/deploy?environment=wsl2.md), the value is `http://0.0.0.0:8000/v1`.
+4. In the **NVIDIA** component's **NVIDIA API Key** field, add your NVIDIA API Key.
+5. Select your model from the **Model Name** dropdown.
+6. Open the **Playground** and chat with your **NIM** model.
+
+
diff --git a/docs/sidebars.js b/docs/sidebars.js
index e276eca87..2204eef5c 100644
--- a/docs/sidebars.js
+++ b/docs/sidebars.js
@@ -174,6 +174,7 @@ module.exports = {
           label: "NVIDIA",
           items: [
             "Integrations/Nvidia/integrations-nvidia-ingest",
+            "Integrations/Nvidia/integrations-nvidia-nim-wsl2",
           ],
         },
       ],