Announcing General Availability of Ray on Databricks
We released Ray support public preview last year and since then, hundreds of Databricks customers have been using it for variety of use...
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Announcing Ray Autoscaling support on Databricks and Apache Spark™
Ray is an open-source unified compute framework that simplifies scaling AI and Python workloads in a distributed environment. Since we introduced support for...
Introducing MLflow 2.3: Enhanced with Native LLMOps Support and New Features
With over 11 million monthly downloads, MLflow has established itself as the premier platform for end-to-end MLOps, empowering teams of all sizes to...
Announcing Ray support on Databricks and Apache Spark Clusters
Ray is a prominent compute framework for running scalable AI and Python workloads, offering a variety of distributed machine learning tools, large-scale hyperparameter...
Cross-version Testing in MLflow
MLflow is an open source platform that was developed to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry...