Announcing GPU-aware scheduling and enhanced deep learning capabilities
Databricks is pleased to announce the release of Databricks Runtime 7.0 for Machine Learning (Runtime 7.0 ML) which provides preconfigured GPU-aware scheduling and...
Announcing MLflow Model Serving on Databricks
Databricks MLflow Model Serving provides a turnkey solution to host machine learning (ML) models as REST endpoints that are updated automatically, enabling data...
Introducing the Next-Generation Data Science Workspace
At today’s Spark + AI Summit 2020, we unveiled the next generation of the Databricks Data Science Workspace: An open and unified experience...
MLflow Joins the Linux Foundation to Become the Open Standard for Machine Learning Platforms
Watch Spark + AI Summit Keynotes here At today's Spark + AI Summit 2020, we announced that MLflow is becoming a Linux Foundation...
Introducing GlowGR: An industrial-scale, ultra-fast and sensitive method for genetic association studies
Today, we announce that we are making a new whole genome regression method available to the open source bioinformatics community as part of...
Welcoming Redash to Databricks
This morning at Spark and AI Summit, we announced that Databricks has acquired Redash, the company behind the popular open source project of...
Introducing Koalas 1.0
Koalas was first introduced last year to provide data scientists using pandas with a way to scale their existing big data workloads by...
Introducing Photon Engine
Databricks Photon is now generally available on AWS and Azure. Today, we announced Photon Engine, which ties together a 100% Apache Spark-compatible vectorized...
Key sessions for Microsoft Azure customers at Spark + AI Summit
At Databricks, we are extremely excited to have Microsoft as a Diamond sponsor of the first virtual Spark + AI Summit. Microsoft and...
Key sessions for AWS customers at Spark + AI Summit
At Databricks, we are excited to have Amazon Web Services (AWS) as a sponsor of the first virtual Spark + AI Summit. Our...