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 introduced a public preview of GPU and LLM optimization support for Databricks Model Serving. This new feature enables the deployment of various AI models, including LLMs and Vision models, ...

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 ...

Databricks AI Runtime (AIR) is now Generally Available (GA), helping teams train and fine-tune models faster on serverless ...

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 ...

Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning models ...

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Factory is now available on the Databricks Marketplace for enterprises to modernize their legacy data estates and build new agentic applications. Factory’s agents are now powered by frontier open ...