question Re: CML in Support Questions

Adding runtimecatalog on the CML service

jI-mi — Tue, 21 Apr 2026 06:10:45 GMT

I'd like to add runtimecatalog on the CML service. I'm currently using 12.8cuda version and Nvidia H100Gpu, and I'd like to use 3.12 jupyterlab. Is this version supported? When I looked it up on github, there didn't seem to be anything. Or can I customize it and use it after image build? Please advise
Thank you.

Re: CML

vafs — Tue, 10 Feb 2026 03:41:13 GMT

Hello @jI-mi,

Thanks for being part of our community.

Can you please explain your question a little bit more?
Also, can you please tell us your CML version?

I was quickly checking on CML 1.5.5 and the CUDA 12.8 is not listed as supported, so this may also give you some hints:
https://docs.cloudera.com/machine-learning/cloud/runtimes/topics/ml-runtimes-nvidia-gpu.html

Re: CML

jI-mi — Tue, 10 Feb 2026 05:12:23 GMT

First of all, thank you for your answer. The CML version we are using is 2.0.42-b80. I'm inquiring because I was asked by the Data Science team that they want to develop it in the 3.12jupyterlab and cuda12.8 environment

Re: CML

vafs — Wed, 11 Feb 2026 03:31:12 GMT

Hello @jI-mi,

That CML version is kind of old. If I'm not wrong, that version comes with DS 1.5.2.
There the only supported versions for CUDA where 11.4 and 11.1, so you will not be able to do that.
https://docs-archive.cloudera.com/machine-learning/1.5.2/runtimes/topics/ml-runtimes-nvidia-gpu.html

And actually, even the most recent versions only support CUDA 12.5.1

Due to Tensorflow requirements, looks like CUDA 12.8 is not planned to be supported.
You can check with your Cloudera Account Team to request this feature providing your business needs.

Re: Adding runtimecatalog on the CML service

VidyaSargur — Mon, 23 Feb 2026 06:56:29 GMT

@jI-mi, Did the response help answer your question? If so, please consider marking it as the solution so others can easily find it later.