open-gpu-kernel-modules VS Chocolatey

I also love that it can be done with just a few code line changes:

https://github.com/NVIDIA/open-gpu-kernel-modules/commit/1f4...

> I do love AMD because its drivers are open source as opposed to nVidia.

AMD's drivers are not really more open that Nvidia's. Similar to Nvidia's Open GPU Kernel Module's[0], AMD's opensource drivers are mostly a shim that wrap firmware blobs[1] in which the functionality you really care about is contained.

[0] https://github.com/NVIDIA/open-gpu-kernel-modules/discussion...

My understanding is that nowadays most of the heavy lifting is done by magic going on in the firmware, so the actual driver is relatively simple and is open source: https://github.com/NVIDIA/open-gpu-kernel-modules

Check this issue

That's only for a small subset of their more recent GPUs, as you can see here: https://github.com/NVIDIA/open-gpu-kernel-modules#compatible...

Update: it is a driver issue, see https://github.com/NVIDIA/open-gpu-kernel-modules/issues/522

Chocolatey Windows software management solution, we use this for installing Python and Deno

Authenticating with Kyma is a (in my opinion) unnecessary challenge as it leverages the OIDC-login plugin for kubectl. You find a description of the setup here. This works fine when on a Mac but can give you some headaches on a Windows and on Linux machine especially when combined with restrictive setups in corporate environments. For Windows I can only recommend installing krew via chocolatey and then install the OIDC plugin via kubectl krew install oidc-login. At least for me that was the only way to get this working on Windows.

On a Windows machine, you can use Chocolatey by running the command.

I've used WSL2 and GHC/Nix--worked without any issues. However, there is Chocolatey: https://chocolatey.org/

For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be picked up by Visual Studio Code as available versions of Python making development easier. In the end it might be best to consider using WSL on Windows for installing a Linux version and using that instead.

Type the following commands on the Windows terminal to install helm. You can use either Scoop a command-line installer for Windows or Chocolatey which is a Package Manager for Windows to install helm.

Für Software ninite.com und chocolatey.org

While you can install it in many ways, the easiest is using a package manager like Homebrew for macOS or chocolatey for Windows.