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CNCF [Cloud Native Computing Foundation]

End to End LLMOps with Kubeflow - Building and Deploying Scalable GenAI Pipelines

CNCF [Cloud Native Computing Foundation] via YouTube

Overview

Explore a comprehensive conference talk that delves into implementing end-to-end LLMOps using Kubeflow, presented by experts from Nutanix and Meta. Learn how enterprises can effectively integrate large language models into their business operations while addressing the complex infrastructure challenges unique to GenAI pipelines. Discover how Kubeflow Platform serves as a bridge between cluster administrators and data scientists, offering both infrastructure visibility and a user-friendly Pythonic interface. Master the complete LLMOps journey, from training LLMs on custom datasets to fine-tuning pipelines and deploying trained models at scale. Gain valuable insights into optimizing Kubernetes native ML reference stack for LLM requirements, ensuring maximum infrastructure utilization and resource efficiency, particularly for expensive accelerators. The presentation provides practical solutions for building scalable, optimized end-to-end GenAI pipelines that effectively connect data and compute resources.

Syllabus

End to End LLMOps with Kubeflow - J. George, G. Prabhu, A. Nagar & A. Raimule, K. Durai

Taught by

CNCF [Cloud Native Computing Foundation]

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