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Autoscaling Generative AI Workloads
Speaker: Jiri Kremser
Event: KCD Czech Slovak 2024
June 06, 2024
Generative AI workloads are known for their resource-intensive nature, making them challenging to manage in a Kubernetes environment. In this session, we will explore how Kubernetes Event-Driven Autoscaling (KEDA) can be used to autoscale generative AI workloads efficiently. Attendees will learn how to leverage KEDA to dynamically scale resources based on the workload’s demand, ensuring optimal performance and cost-efficiency.
