diff --git a/README.md b/README.md
index 135a3f1..d6c410c 100644
--- a/README.md
+++ b/README.md
@@ -11,35 +11,36 @@ A quick prototype to self-host [Open WebUI](https://docs.openwebui.com/) backed
 
 ### Steps for NVIDIA GPU
 
-1. Make sure your drivers are up to date.
-2. Install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).
-3. Clone the repo.
-4. Symlink the NVIDIA compose spec to select it. `ln -s docker-compose.nvidia.yml docker.compose.yml`
-5. Run `docker compose up`.
-6. Browse http://localhost:8080/
-7. Add a model and start chatting!
+1. Check if your GPU is supported: https://github.com/ollama/ollama/blob/main/docs/gpu.md#nvidia. You need CUDA 5.0+. As a reference, the oldest card I managed to make it run is a GeForce GTX 970Ti and a Quadro M4000 (they both were quite slow though).
+2. Make sure your drivers are up to date. If you are on Windows, make sure your drivers are up to date on your Windows host.
+3. Install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).
+4. Clone the repo.
+5. Symlink the NVIDIA compose spec to select it. `ln -s docker-compose.nvidia.yml docker.compose.yml`
+6. Run `docker compose up`.
+7. Browse http://localhost:8080/
+8. Add a model and start chatting!
 
 ### Steps for AMD GPU
 
 **Warning: AMD will *doesn't* support Windows at the moment. Use Linux.**
 
-1. Make sure your drivers are up to date.
-2. Clone the repo.
-3. Symlink the AMD compose spec to select it. `ln -s docker-compose.amd.yml docker.compose.yml`
-4. Run `docker compose up`.
-5. Browse http://localhost:8080/
-6. Add a model and start chatting!
+1. Check if your GPU is supported: https://github.com/ollama/ollama/blob/main/docs/gpu.md#amd-radeon. It may be possible to run even with an unsupported GPU (I once managed to make it run on a 5700XT) by setting the `HSA_OVERRIDE_GFX_VERSION` environment variable but you are on your own. You can add this environment variable by editing the file `docker-compose.amd.yml`.
+2. Make sure your drivers are up to date.
+3. Clone the repo.
+4. Symlink the AMD compose spec to select it. `ln -s docker-compose.amd.yml docker.compose.yml`
+5. Run `docker compose up`.
+6. Browse http://localhost:8080/
+7. Add a model and start chatting!
 
 ### Steps for NO GPU (use CPU)
 
 **Warning: This may be very slow depending on your CPU and may us a lot of RAM depending on the model**
 
-1. Make sure your drivers are up to date.
-2. Clone the repo.
-3. Symlink the CPU compose spec to select it. `ln -s docker-compose.cpu.yml docker.compose.yml`
-4. Run `docker compose up`.
-5. Browse http://localhost:8080/
-6. Add a model and start chatting!
+1. Clone the repo.
+2. Symlink the CPU compose spec to select it. `ln -s docker-compose.cpu.yml docker.compose.yml`
+3. Run `docker compose up`.
+4. Browse http://localhost:8080/
+5. Add a model and start chatting!
 
 
 ## Adding models
diff --git a/docker-compose.amd.yml b/docker-compose.amd.yml
index acc6b49..86320f2 100644
--- a/docker-compose.amd.yml
+++ b/docker-compose.amd.yml
@@ -19,9 +19,9 @@ services:
       - SYS_PTRACE
     security_opt:
       - seccomp=unconfined
-    # environment:
-    #   # https://github.com/ROCm/ROCm/issues/2788#issuecomment-1915765846
-    #   HSA_OVERRIDE_GFX_VERSION: 11.0.0
+    environment:
+      # https://github.com/ROCm/ROCm/issues/2788#issuecomment-1915765846
+      HSA_OVERRIDE_GFX_VERSION: 
     # end of section for AMD GPU support
 
     volumes: