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jI-mi
jI-mi
Silver ⭐️
February 7, 2026
Solved

Adding runtimecatalog on the CML service

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.

vafs
vafsAnswer
Gold ⭐️⭐️⭐️
February 11, 2026

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.  

Regards, Andrés Fallas -- Was your question answered? Please take some time to click on "Accept as Solution" below this post. If you find a reply useful, say thanks by clicking on the thumbs-up button.
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4 replies

vafs
Gold ⭐️⭐️⭐️
vafs
Gold ⭐️⭐️⭐️
February 10, 2026

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 

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Regards, Andrés Fallas -- Was your question answered? Please take some time to click on "Accept as Solution" below this post. If you find a reply useful, say thanks by clicking on the thumbs-up button.
jI-mi
jI-miAuthor
Silver ⭐️
February 10, 2026

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

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vafs
Gold ⭐️⭐️⭐️
vafsAnswer
Gold ⭐️⭐️⭐️
February 11, 2026

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.  

Translate
Regards, Andrés Fallas -- Was your question answered? Please take some time to click on "Accept as Solution" below this post. If you find a reply useful, say thanks by clicking on the thumbs-up button.
VidyaSargur
Community Manager
VidyaSargur
Community Manager
February 23, 2026

@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.

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Regards, Vidya Sargur, Community Manager Was your question answered? Make sure to mark the answer as the accepted solution. If you find a reply useful, say thanks by clicking on the thumbs up button.
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