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...
Announcing the MLflow AI Gateway
If you're an existing Databricks user, fill out the signup form and contact your Databricks representative to enroll in the AI Gateway Private...
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...