Announcing Inference Tables: Simplified Monitoring and Diagnostics for AI modelsOctober 5, 2023 by Ahmed Bilal, Steven Chen, Kasey Uhlenhuth, Joshua Hartman, Alkis Polyzotis and Viswesh Periyasamy in Platform Blog 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...
Deploy Private LLMs using Databricks Model ServingSeptember 28, 2023 by Ahmed Bilal, Ankit Mathur, Kasey Uhlenhuth and Joshua Hartman in Engineering Blog 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 ServingMarch 7, 2023 by Patrick Wendell, Aaron Davidson, Sue Ann Hong, Kasey Uhlenhuth, Ahmed Bilal and Josh Hartman in Platform Blog 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 2.0November 15, 2022 by Patrick Wendell, Craig Wiley, Xiangrui Meng, Corey Zumar and Ahmed Bilal in Platform Blog 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 2.0June 29, 2022 by Ahmed Bilal, Jin Zhang, Corey Zumar and Xiangrui Meng in Engineering Blog 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 DatabricksJune 2, 2022 by Ahmed Bilal, Sid Murching, Mohamad Arabi and Xiangrui Meng in Engineering Blog 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 WebhooksFebruary 1, 2022 by Ahmed Bilal, Corey Zumar, Arpit Jasapara, Ankit Mathur and Sue Ann Hong in Platform Blog As machine learning becomes more widely adopted, businesses need to deploy models at speed and scale to achieve maximum value. Today, we are...