# [Wrapping up](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/6-wrapping-up/)

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/)
- [Run neural graphics workloads with ML Extensions for Vulkan](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/1-introduction/)
- [Set up the ML Emulation Layers for Vulkan](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/2-ml-ext-for-vulkan/)
- [Simple Tensor and Data Graph](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/3-first-sample/)
- [Running a test with the Scenario Runner](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/4-scenario-runner/)
- [Use RenderDoc to debug and analyze workloads](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/5-renderdoc/)
- [Wrapping up](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/6-wrapping-up/)
- [Next Steps](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/_next-steps/)

## What you’ve learned and what’s next
With these tools and samples, you’re ready to experiment with neural graphics on Vulkan. Whether you’re integrating neural super sampling into a game or learning to build ML pipelines, the Neural Graphics Development Kit provides extensible building blocks for real-time workloads.

You have now:
- Explored the **Vulkan Samples** to understand data graph pipeline structure
- Reviewed ML integration workflows using the **ML SDK for Vulkan** and the **VGF** format
- Debugged and analyzed ML workloads using **RenderDoc**

These components help you develop and understand neural upscaling pipelines and experiment with new GPU features.

## Explore more
- [Neural Graphics Development Kit landing page](https://developer.arm.com/mobile-graphics-and-gaming/neural-graphics) - overview of Arm’s tools for neural graphics
- [Vulkan Samples](https://github.com/ARM-software/Vulkan-Samples) - demos for the ML Extensions for Vulkan
- [Building for Tomorrow: Try Arm Neural Super-Sampling Today with ML Extensions for Vulkan and Unreal](https://community.arm.com/arm-community-blogs/b/mobile-graphics-and-gaming-blog/posts/how-to-access-arm-neural-super-sampling) - getting started with the NSS use case
- [How Arm Neural Super Sampling Works](https://community.arm.com/arm-community-blogs/b/mobile-graphics-and-gaming-blog/posts/how-arm-neural-super-sampling-works) - detailed explanation of the NSS use case

Use these resources to continue exploring real-time neural graphics.