The Challenges of Managing Kubernetes-Based Machine Learning Infrastructure

Explore the complexities of managing Kubernetes-based machine learning infrastructure in this insightful 42-minute panel discussion featuring experts from Bloomberg, Seldon, and Spotify. Delve into the dual challenges of handling common infrastructure tasks and ML-specific requirements. Learn how these industry leaders leverage Kubernetes and its robust open-source ecosystem to build cutting-edge machine learning infrastructures. Discover the applications of tools like Knative, Cloud Native Buildpacks, Argo, Envoy, Kubeflow, KServe, Seldon Core, and KubeRay. Gain valuable insights into diverse use cases, including perspectives from end-users and infrastructure providers, as well as on-premises and cloud-based solutions. Understand the current challenges faced by engineers in implementing and maintaining ML infrastructures across different organizational contexts.