From Notebook to Kubernetes: Scaling GenAI Pipelines with ZenML

Explore a lightning talk demonstrating how ZenML, an open-source MLOps framework, facilitates the seamless transition from local development to cloud-scale deployment of generative AI pipelines. Follow a workflow that begins in a Jupyter notebook with local data processing steps and scales up by offloading intensive training to Kubernetes. Discover ZenML's Kubernetes integration and caching features, which streamline the development-to-production pipeline for generative AI projects. Learn from Alex Strick van Linschoten, an ML engineer at ZenML, as he shares insights on scaling GenAI pipelines efficiently. Gain valuable knowledge on optimizing your MLOps workflow in just 13 minutes, courtesy of the MLOps.community.

From Notebook to Kubernetes: Scaling GenAI Pipelines with ZenML // Alex Strick van Linschoten