OpenAI fashions, together with GPT-5.1, are actually typically out there on the Databricks Knowledge Intelligence Platform. This launch is a key a part of our Week of Brokers, showcasing new releases that will help you construct, govern, and deploy highly effective AI brokers securely at scale.
With GA, OpenAI fashions on Databricks attain full manufacturing readiness. This marks one other step towards Databricks’ mission to make main basis fashions out there natively inside a single, ruled platform so enterprises can construct high-quality brokers that motive over their information securely and at scale.
Construct with OpenAI, The place Your Knowledge Lives
Now, enterprises can carry OpenAI’s frontier intelligence on to their ruled information, with out transferring information round. This integration allows techniques that not solely generate language but additionally perceive, motive, and act on enterprise information in actual time.
Groups are already utilizing this mix to:
- Enrich tens of millions of assist tickets or product critiques with automated insights
- Generate structured summaries and motion gadgets from assembly transcripts or contracts
- Construct conversational brokers that reply questions grounded in stay Delta information
What You Can Do with OpenAI Fashions on Databricks?
Discover Fashions within the AI Playground
The AI Playground provides the quickest path to begin experimenting. Open the Playground tab, select an OpenAI mannequin, and examine GPT-5.1, GPT-5, GPT-mini, and GPT-nano facet by facet. Modify temperature, max tokens, and different parameters interactively, then export the most effective immediate immediately right into a pocket book or SQL cell.
Apply OpenAI Fashions to Your Knowledge
OpenAI fashions can be utilized like a built-in operator in SQL or Python, making it easy to investigate contracts, PDFs, transcripts, or pictures immediately the place your information lives. While you run these queries, Databricks mechanically scales OpenAI mannequin capability within the backend to deal with every part from a handful of rows to tens of millions, making certain quick, dependable outcomes with out further setup.
Automate Doc Intelligence
OpenAI fashions may be chained into Lakeflow Declarative Pipelines to construct GenAI ETL, ingesting information from techniques like Dynamics 365, making use of AI transformations similar to summarization or classification, and orchestrating the movement with built-in governance and observability. This sample scales to tens of millions of paperwork, creating end-to-end document-intelligence pipelines with lineage, auditability, and high quality monitoring in-built.
Construct Clever Brokers with OpenAI and Agent Bricks
Agent Bricks turns OpenAI fashions into clever brokers by connecting them to enterprise information within the Lakehouse, vectorized data via Vector Search, and exterior techniques by way of MCP.
As soon as related, Agent Bricks automates immediate and mannequin optimization, selecting the right mixture for every use case and constantly bettering efficiency via built-in analysis, observability, and governance.
When prepared, brokers may be securely deployed at scale, absolutely ruled by Unity Catalog and monitored via AI Gateway.
Govern and Monitor with AI Gateway
All OpenAI visitors on Databricks is managed via AI Gateway, the unified management airplane for enterprise AI workloads. Each GPT-5.1 request is ruled, logged, and auditable — absolutely built-in with Unity Catalog. Groups acquire visibility into utilization and token spend, can implement price limits, and allow fallbacks to make API calls extra dependable.
