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 ...

New text-to-image diffusion model enables organizations to generate high-fidelity, trusted images When organizations need high-quality images for their collateral, websites, applications, or campaigns ...

Databricks Inc. today announced several enhancements to its Mosaic AI toolset for building and deploying artificial intelligence models that specifically target generative AI applications. The ...

Databricks Inc. today launched DBRX, a general-purpose large language model that it says outperforms all existing open-source models — and some proprietary ones — on standard benchmarks. The company ...

If you wanted to raise the profile of your major tech company and had $10 million to spend, how would you spend it? On a Super Bowl ad? An F1 sponsorship? You could spend it training a generative AI ...

SAN FRANCISCO, Calif., June 12, 2024 – Databricks, the Data and AI company, today announced several innovations to Mosaic AI to help customers build production-quality Generative AI applications.

The $43 billion company, backed by Nvidia and Andreessen Horowitz, said it wants to lower costs for companies to create their own AIs. Databricks, an AI data and analytics company valued at $43 ...

SqlDBM, the leading cloud-native data modeling platform for the enterprise, today announces the release of its Model Context Protocol (MCP) Server live at Databricks Data + AI Summit 2025. This ...

Upgrades to Databricks’ Mosaic AI, a deeper collaboration with Nvidia and the open-sourcing of Unity Catalog are among the biggest updates from Summit 2024. Upgrades to Databricks’ Mosaic AI unified ...

CISOs know precisely where their AI nightmare unfolds fastest. It's inference, the vulnerable stage where live models meet real-world data, leaving enterprises exposed to prompt injection, data leaks, ...

Databricks’ research into instructed retrieval and the OfficeQA benchmark suggests that the hardest problems in enterprise AI ...