k3d Kubernetes Manager FAQs

Question 1

How does GPU passthrough work in these clusters?

Accepted Answer

The skill automates the configuration of the NVIDIA device plugin, allowing your Kubernetes pods to access host GPU resources for machine learning and compute tasks.

Question 2

How do I update an existing cluster configuration?

Accepted Answer

Running the config command on an existing instance will recreate the cluster with your new settings, though you should export important resources first as data is not preserved.

Question 3

Can I run multiple Kubernetes clusters simultaneously?

Accepted Answer

Yes, the k3d skill supports multi-instance management, allowing you to create and run several clusters on different ports using the --instance flag.

Question 4

Can k3d pods communicate with other Bazzite AI services?

Accepted Answer

Yes, clusters are automatically joined to the bazzite-ai network, enabling DNS-based service discovery for tools like Ollama, JupyterLab, and ComfyUI.

Question 5

Do I need to install kubectl separately?

Accepted Answer

The skill provides an integrated shell command to run kubectl within the cluster context, though you can also use a local kubectl by referencing the generated kubeconfig.

k3d Kubernetes Manager

关于

主要功能

使用场景

k3d Kubernetes Manager

关于

主要功能

使用场景