Hi, I Have A Small Question Regarding K8S Clearml-Serving Behavior. I Have In My Cluster One Gpu Of 16Gb Ram, And Another One Of 24 Gb Ram. I Have A Llm Model Fitting The 24Gb But Not The 16Gb Gpu. When I Call The Endpoint, How Will I Know To Which Gpu I

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Hi @<1556812486840160256:profile|SuccessfulRaven86>
Every clearml-serving session (you can have multiple different "sessions") is assumed to be homogeneous, this would mean it will serve the same models on as many nodes as possible supporting multiple models per pod.
In your example I think the easiest is to create two serving sessions one with a node selector for the 24GB node and another for the 16GB node, wdyt?

  				
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	5 months ago

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5 months ago