Vladimir

@wangxiaoying theoretically, partitioning by timestamps could also be added (they support min/max). This will be useful for time series data.

It appears that GPU Feature Discovery does not work properly. @elezar, are there any plans to address this? I have no problems running CUDA code inside Docker containers on WSL2...

Have the same issue. I observe that before enabling the gpu add-on `nvidia-smi` outputs correct driver information. But after enabling, I'm getting the "Command 'nvidia-smi' not found" error. Restarting WSL2...

Hi @neoaggelos Thanks for the prompt response. The `nvidia-smi -L` output is: `GPU 0: NVIDIA RTX A5500 Laptop GPU (UUID: GPU-12d4cc90-1b45-0f55-561f-b7664aa0ccda)` I install MicroK8s v1.27.2 following the [Get Started](https://microk8s.io/docs/getting-started) instructions....

Yes, it is supported. This NVIDIA page you're referring to is a little bit outdated. I don't have any problems running CUDA apps locally and inside Docker containers. The only...