Training Machine Learning (ML) models on Kubernetes
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Show Notes
In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Bernie Wu, VP Strategic Partnerships and AI/CXL/Kubernetes Initiatives at Memverge. They discuss about how Kubernetes is the most popular platform to run AI model training and model inferencing jobs. The discussion dives into model training, talking about different phases of a DAG, and then talk about how Memverge can help users with efficient and cost-effective model checkpoints. The discussion goes into topics like saving costs by using spot instances, hot restart of training jobs, reclaiming unused GPU resources, etc.
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Cloud Native News:
- https://www.aquasec.com/blog/linguistic-lumberjack-understanding-cve-2024-4323-in-fluent-bit/
- https://kubernetes.io/blog/2024/05/20/completing-cloud-provider-migration/
- https://thenewstack.io/introducing-aks-automatic-managed-kubernetes-for-developers/
- https://www.harness.io/blog/harness-to-acquire-split
Show Links:
- https://www.linkedin.com/in/berniewu/
- https://criu.org/Main_Page
- https://memverge.com/
- https://youtu.be/tY8YOMRuqWI?si=yB3hHqLUpYPZ-KWN
- https://youtu.be/ND4seSKpJHI?si=shh0iuA9qC-dO6eb
Timestamps: