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We are planning to provide MVI to challenge participants by hosting an on-premise OpenShift cluster.
As we demo and review the product, we notice the requirements for training vs inference. We noticed the ladder tends to use much less CPU cycles and memory, which lends me to consider GPU optimizations.
Consider providing the option to choose a worker label with a GPU optimized for each workload (ie training vs inference).
Idea priority | Medium |
Needed By | Not sure -- Just thought it was cool |
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