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 ...

Unified Data Governance: Manage and govern all data and ML assets with Unity Catalog, including those consumed and produced by model serving. Databricks is committed to driving innovation with its ...

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 Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP.

The new offering is available now on AWS and Microsoft Azure. Companies can access the ML model managed by Databricks by invoking a REST API. The ML serving component runs in a serverless manner, the ...

Tecton, the enterprise feature store company, is partnering with Databricks, the Data and AI Company, to help organizations build and automate their machine learning (ML) feature pipelines from ...

Databricks has raised a hefty $3.5 billion over nine funding rounds. Its customer base includes giants like AT&T, Columbia, Nasdaq, Grammarly, Rivian and Adobe.