Optimise your ML workloads on Kubernetes

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​ Kubernetes has proven to be a vital tool for developing and running ML models. It enhances experimentation, workflow management, and ensures high availability while handling the resource-intensive nature of AI workloads.

With optimizations, Kubernetes can further improve resource utilization, making AI/ML projects more efficient. Join this webinar to

– Explore the challenges of running AI on Kubernetes
– Learn how to schedule ML workloads effectively
– Discover why Kubernetes is ideal for AI projects
– Leverage Kubernetes operators and schedulers for faster project delivery
– Gain a clear path to taking ML projects to production with open-source solutions

#Kubernetes #MachineLearning #OpenSource   Read More Canonical Ubuntu 

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