diff --git a/README.md b/README.md
index 648826bf..8d1da607 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@ Get up and running with large language models locally.
 
 ### Windows
 
-Coming soon!
+Coming soon! For now, you can install Ollama on Windows via WSL2.
 
 ### Linux & WSL2
 
diff --git a/docs/faq.md b/docs/faq.md
index 28631a79..e6771db8 100644
--- a/docs/faq.md
+++ b/docs/faq.md
@@ -154,3 +154,11 @@ docker run -d -e HTTPS_PROXY=https://my.proxy.example.com -p 11434:11434 ollama-
 The Ollama Docker container can be configured with GPU acceleration in Linux or Windows (with WSL2). This requires the [nvidia-container-toolkit](https://github.com/NVIDIA/nvidia-container-toolkit). See [ollama/ollama](https://hub.docker.com/r/ollama/ollama) for more details.
 
 GPU acceleration is not available for Docker Desktop in macOS due to the lack of GPU passthrough and emulation.
+
+## Why is networking slow in WSL2 on Windows 10?
+
+This can impact both installing Ollama, as well as downloading models.
+
+Open `Control Panel > Networking and Internet > View network status and tasks` and click on `Change adapter settings` on the left panel. Find the `vEthernel (WSL)` adapter, right click and select `Properties`.
+Click on `Configure` and open the `Advanced` tab. Search through each of the properties until you find `Large Send Offload Version 2 (IPv4)` and `Large Send Offload Version 2 (IPv6)`. *Disable* both of these
+properties.