Running Nvidia drivers in Clear Linux or Flatcar?

1. container-images

   1 10 - -

   That leaves Flatcar and Clear Linux - both of which happen to at least have documentation for installing/running Nvidia drivers and CUDA. Flatcar has this repository from Nvidia, and I've also found this project called forklift which will supposedly handle auto-updating the kernel modules for you. The Clear Linux docs also seem to include a method to auto-rebuild the modules with kernel upgrades, though it does say that the driver version needs to be updated manually, which honestly almost sounds preferable considering how finicky Nvidia drivers can be on Linux. Clear Linux also has several other tutorials/guides that appear to try and market it for things like machine learning, which leads me to believe that Nvidia gpus would hopefully work decently on it.

2. InfluxDB

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   InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

   

3. flatcar-forklift

   2 1 9 0.0 Shell

   SystemD service to deploy always up-to-date kernel modules for Flatcar Container Linux

   

   That leaves Flatcar and Clear Linux - both of which happen to at least have documentation for installing/running Nvidia drivers and CUDA. Flatcar has this repository from Nvidia, and I've also found this project called forklift which will supposedly handle auto-updating the kernel modules for you. The Clear Linux docs also seem to include a method to auto-rebuild the modules with kernel upgrades, though it does say that the driver version needs to be updated manually, which honestly almost sounds preferable considering how finicky Nvidia drivers can be on Linux. Clear Linux also has several other tutorials/guides that appear to try and market it for things like machine learning, which leads me to believe that Nvidia gpus would hopefully work decently on it.

4. docker-flatcar-nvidia-driver

   3 1 12 0.0 Shell

   

   That leaves Flatcar and Clear Linux - both of which happen to at least have documentation for installing/running Nvidia drivers and CUDA. Flatcar has this repository from Nvidia, and I've also found this project called forklift which will supposedly handle auto-updating the kernel modules for you. The Clear Linux docs also seem to include a method to auto-rebuild the modules with kernel upgrades, though it does say that the driver version needs to be updated manually, which honestly almost sounds preferable considering how finicky Nvidia drivers can be on Linux. Clear Linux also has several other tutorials/guides that appear to try and market it for things like machine learning, which leads me to believe that Nvidia gpus would hopefully work decently on it.

5. coreos-assembler

   4 3 361 9.6 Go

   Tooling container to assemble CoreOS-like systems

   

   I don't know about Flatcar but Fedora CoreOS provides good instructions for building a custom image https://github.com/coreos/coreos-assembler/blob/main/docs/building-fcos.md.

6. container-engine-accelerators

   5 1 229 8.8 Go

   Collection of tools and examples for managing Accelerated workloads in Kubernetes Engine

   

   The container based driver installation method looks good too. GKE does something similar https://github.com/GoogleCloudPlatform/container-engine-accelerators.

7. CodeRabbit

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