Kubernetes was built for running microservices on commodity CPU. Whereas AI workloads are totally different. There are other experiments in terms of how data scientists machine engineers make their workloads. And we saw that there are a lot of scheduling capabilities missing on Kubernetes that are actually available in other things. Other things like high performance computing, third-grade HPC for them. Young scheduler is an amazing scheduler that was going to have the time years ago.

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