FROM nvcr.io/nvidia/pytorch:22.01-py3
diff --git a/Dockerfile b/Dockerfile
index 33f428e81b1..e691b4a9f08 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 # YOLOv5 🚀 by Ultralytics, GPL-3.0 license
 
 # Start FROM Nvidia PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
-FROM nvcr.io/nvidia/pytorch:21.10-py3
+FROM nvcr.io/nvidia/pytorch:22.01-py3
 
 # Install linux packages
 RUN apt update && apt install -y zip htop screen libgl1-mesa-glx

Reordered installation may help reduce resource usage in autobuild

## 🛠️ PR Summary

<sub>Made with ❤️ by [Ultralytics Actions](https://github.com/ultralytics/actions)<sub>

### 🌟 Summary
Updated the base Docker image used for YOLOv5 to a newer version.

### 📊 Key Changes
- The Dockerfile has been updated to start from a newer base image, changing from `nvcr.io/nvidia/pytorch:21.10-py3` to `nvcr.io/nvidia/pytorch:22.01-py3`.

### 🎯 Purpose & Impact
- **Improved Compatibility:** Ensures compatibility with the latest PyTorch features and CUDA optimizations.
- **Potential Performance Gains:** Users may experience improved performance and efficiency from the newer software stack.
- **Future-Proofing:** Keeps the project up-to-date with current technologies, which can simplify future updates and maintenance.