Closes the gpu-operator half of #3563. Tenant clusters have run Talos workers since 1.6.0, where the NVIDIA driver comes from a system extension baked into the worker image rather than from the operator's driver container. The addon default still described the Ubuntu shape, so a GPU node group came up with the operator fighting the OS for the driver and no path at all for CUDA libraries to reach a tenant pod. Three things change, each fixing one silent failure: driver.enabled and toolkit.enabled go false. The driver container would load its own module and clash with the extension's; the toolkit container would rewrite /etc/containerd/config.toml, which Talos owns and which already registers the nvidia runtime with enable_cdi = true and cdi_spec_dirs = ['/run/cdi']. validator.driver.env points DRIVER_ROOT and NVIDIA_DRIVER_ROOT at / and disables /dev/char symlink creation. The driver validator otherwise looks for a driver container install, finds none, never writes its sentinel, and leaves the device plugin blocked behind toolkit-validation — the loop on "Attempting to validate a driver container installation". devicePlugin.env selects cdi-annotations and points NVIDIA_CTK_PATH at the host's nvidia-ctk. Tenant pods carry no runtimeClassName and did not need one on Ubuntu, where the toolkit made nvidia the default containerd runtime; Talos does not, so CDI is the only route for the CUDA libraries. DEVICE_ID_STRATEGY, NVIDIA_DRIVER_ROOT and CDI_ANNOTATION_PREFIX are set and tested alongside it: CDI device names key on the UUID strategy, the plugin resolves the driver from NVIDIA_DRIVER_ROOT, and the annotation prefix has to be the one containerd reads, so a regression in any of them breaks device resolution on its own. The previous default fed NVreg_NvLinkDisable=1 to the driver container through the nvidia-kernel-module-params ConfigMap. With that container off the ConfigMap is mounted by nothing, so the default is removed. On Talos a module parameter belongs to the worker machine config, which the kernelModules field of the KubernetesNodes app (packages/apps/kubernetes-nodes, #3571) writes. The wrapper chart keeps the ConfigMap for an operator who re-enables the driver container. Every value here is the configuration validated on a production Talos GPU node group, minus the parts that only mattered while the driver container was in play. Not covered: HAMi. When addons.hami.enabled the operator's device plugin stays off and HAMi serves the GPUs, and HAMi's own plugin needs equivalent CDI wiring on Talos that this default does not attempt. Refs: #3563 Assisted-by: LLM Signed-off-by: Mattia Eleuteri <mattia@hidora.io>
Cozystack
Cozystack is a free and open-source platform and framework for building clouds.
Cozystack is a CNCF Sandbox project that was originally built and sponsored by Ænix.
With Cozystack, you can transform a bunch of servers into an intelligent system with a simple REST API for spawning Kubernetes clusters, Database-as-a-Service, virtual machines, load balancers, HTTP caching services, and other services with ease.
Use Cozystack to build your own cloud or provide a cost-effective development environment.
Use-Cases
-
Using Cozystack to build a public cloud
You can use Cozystack as a backend for a public cloud -
Using Cozystack to build a private cloud
You can use Cozystack as a platform to build a private cloud powered by Infrastructure-as-Code approach -
Using Cozystack as a Kubernetes distribution
You can use Cozystack as a Kubernetes distribution for Bare Metal
Documentation
The documentation is located on the cozystack.io website.
Read the Getting Started section for a quick start.
If you encounter any difficulties, start with the troubleshooting guide and work your way through the process that we've outlined.
Versioning
Versioning adheres to the Semantic Versioning principles.
A full list of the available releases is available in the GitHub repository's Release section.
Contributions
Contributions are highly appreciated and very welcomed!
In case of bugs, please check if the issue has already been opened by checking the GitHub Issues section. If it isn't, you can open a new one. A detailed report will help us replicate it, assess it, and work on a fix.
You are welcome to take on the fix yourself. Commits are used to generate the changelog, and their author will be referenced in it.
If you have a concrete feature request, open an issue. For a cross-cutting or architectural change, open a design proposal in the community repo. For questions or early ideas, use GitHub Discussions. See CONTRIBUTING.md for the full routing.
Community
You are welcome to join us in #cozystack, on either CNCF Slack (get an invite) or Kubernetes Slack (get an invite), in our Telegram group, and at our community meetings. Add them to your Google Calendar or iCal for convenience.
Project documents
| Document | What it covers |
|---|---|
| Governance | How decisions are made and who makes them |
| Contributor Ladder | How to grow from contributor to maintainer |
| Maintainers | Who maintains the project |
| Code of Conduct | What we expect of each other |
| Security Policy | Reporting a vulnerability, and which releases get fixes |
| Adopters | Who runs Cozystack in production |
| Roadmap | Where the project is going |
License
Cozystack is licensed under Apache 2.0.
The code is provided as-is with no warranties.
Commercial Support
A list of companies providing commercial support for this project can be found on official site.
