Databricks unveiled new large language model and GPU optimization capabilities in Model Serving in a move designed to enable customers to improve generative AI outcomes. Databricks launched Model ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Databricks on Tuesday launched Model Serving, a tool that enables users to deploy machine learning models as REST APIs on the vendor's lakehouse platform and eliminates the need to manage a serving ...

Today Databricks announced new retrieval augmented generation (RAG) tooling for its Data Intelligence Platform to help customers build, deploy and maintain high-quality large language model (LLM) apps ...

Databricks’ Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help ...

Data analytics company Databricks says its mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their own AI systems.

Databricks, the Andreessen Horowitz-backed enterprise software unicorn, has agreed to acquire generative AI startup MosaicML for roughly $1.3 billion in a move to help companies train large language ...

Snowflake and Databricks are surely similar companies. While each positions itself a bit differently, both provide data storage, processing and governance in a cloud context. Both are holding customer ...

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