The testing found that the latter delivers 1.92x, 2.12x, and 2.24x inference performance on Databricks Runtime for Machine Learning with Standard_F32s_v2, Standard_F64s_v2, and Standard_F72s_v2 ...

Databricks, the lakehouse company, is launching Databricks Model Serving, a solution aiming to streamline the management and scaling of production machine learning (ML) within the Databricks Lakehouse ...

Databricks, the Silicon Valley-based startup focused on commercializing Apache Spark, has developed MLflow, an open source toolkit for data scientists to manage the lifecycle of machine learning ...

LONDON--(BUSINESS WIRE)--Databricks, the leader in unified analytics and founded by the original creators of Apache Spark™, today announced the keynote lineup for the newly expanded Spark + AI ...

Databricks, the leader in unified data analytics, has been named by Gartner as a Leader in the 2020 Magic Quadrant for Data Science and Machine Learni ...

They can train powerful machine learning algorithms on the data retrieved from the warehouse and store the output back in Snowflake. Users can rely on familiar SQL syntax to query the data stored ...