Announcing Inference Tables: Simplified Monitoring and Diagnostics for AI models
Have you ever deployed an AI model, only to discover it's delivering unexpected results in a real-world setting? Monitoring models is as crucial...
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Deploy Private LLMs using Databricks Model Serving
We are excited to announce public preview of GPU and LLM optimization support for Databricks Model Serving! With this launch, you can deploy...
Announcing General Availability of Databricks Model Serving
ML Virtual Event Enabling Production ML at Scale With Lakehouse March 14, 9 AM PDT / 4 PM GMT Register Now We are...
Announcing Availability of MLflow 2.0
MLflow , with over 13 million monthly downloads, has become the standard platform for end-to-end MLOps, enabling teams of all sizes to track...
Introducing MLflow Pipelines with MLflow 2.0
Since we launched MLflow in 2018, MLflow has become the most popular MLOps framework, with over 11M monthly downloads! Today, teams of all...
Automate Your Data and ML Workflows With GitHub Actions for Databricks
As demand for data and machine learning (ML) applications grows, businesses are adopting continuous integration and deployment practices to ensure they can deploy...
Streamline MLOps With MLflow Model Registry Webhooks
As machine learning becomes more widely adopted, businesses need to deploy models at speed and scale to achieve maximum value. Today, we are...