Which container base image is most suitable for GPU-dependent applications?

The most suitable container base image for GPU-dependent applications is Windows Server. This option provides comprehensive support for various server functionalities, including the ability to utilize hardware acceleration and GPU resources effectively. Windows Server is specifically designed to handle enterprise-level applications, and it comes equipped with the necessary tools and libraries to integrate with GPU workloads, particularly when using features like Windows Containers.

In contrast, the other options are not optimal for GPU-dependent applications. Server Core, while it is a lighter version of Windows Server, may not have the full functionality needed for advanced GPU tasks. Nano Server is an even smaller, more stripped-down version, making it unsuitable for applications requiring GPU access due to its limited API surface. Windows 10 Pro is primarily a client operating system and lacks the robustness and enterprise features necessary for reliable GPU handling in containerized applications. Thus, Windows Server stands out as the best option for this specific use case.