diff --git a/README.md b/README.md
index 445f80f3e0..64f106f2c1 100644
--- a/README.md
+++ b/README.md
@@ -231,6 +231,21 @@ else: raise RuntimeError(f"Torch = {v} too new!")
 x = x.format(cuda.replace(".", ""), "-ampere" if is_ampere else "")
 print(f'pip install --upgrade pip && pip install "unsloth[{x}] @ git+https://github.com/unslothai/unsloth.git"')
 ```
+### Docker Installation
+You can use our pre-built Docker container with all dependencies to use Unsloth instantly with no setup required.
+[Read our guide](https://docs.unsloth.ai/get-started/install-and-update/docker).
+
+**This container requires installing [NVIDIA's Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html)**.
+
+```bash
+docker run -d -e JUPYTER_PASSWORD="mypassword" \
+  -p 8888:8888 -p 2222:22 \
+  -v $(pwd)/work:/workspace/work \
+  --gpus all \
+  unsloth/unsloth
+```
+
+Access Jupyter Lab at `http://localhost:8888` and start fine-tuning!
 
 ## 📜 Documentation
 - Go to our official [Documentation](https://docs.unsloth.ai) for saving to GGUF, checkpointing, evaluation and more!