> For the complete documentation index, see [llms.txt](https://docs.kaisar.io/kaisar-network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kaisar.io/kaisar-network/origins/faq/how-does-kaisar-gpu-container-work.md).

# How does Kaisar GPU Container work?

* Kaisar GPU Container allows users to run GPU-intensive applications within containers, providing easy access to GPU resources. 
* Users can customize their container environments, monitor GPU usage in real-time, and manage their deployments through a user-friendly dashboard. 
* The service supports popular AI/ML frameworks like TensorFlow and PyTorch.