ZenML is an open-source MLOps framework built for enterprise platform teams to standardize ML infrastructure at scale. At its core are ML pipelines and configurable stacks that abstract infrastructure complexity while preserving full control over data and compute resources. Its modular architecture enables platform engineers to integrate existing ML tools and cloud services without vendor lock-in—ideal for organizations building centralized ML platforms that prioritize compliance and cost efficiency.