Databricks Model Serving
Serverless model deployment service within the Databricks platform that enables real-time and batch inference at scale without manual infrastructure management.
Use Cases3
Companies3
Industries3
AI Use Cases with Databricks Model Serving
1
How GoGuardian Uses Databricks to Cut ML Costs 90% While Protecting K–12 Students
GoGuardian · Operations
90%
Operational cost savings with Delphi model
90%Operational cost savings with Delphi model
2
How Edmunds Uses Databricks and GPT-4 to Automate Dealer Review Moderation
Edmunds · Operations
3–5 hours
Moderator time saved per week
3–5 hoursModerator time saved per week
3
How You.com Accelerates AI Agent Development with Databricks
You.com · Product Development
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Models Used With
GPT-4
OpenAI's GPT-4 large language model for general-purpose text generation and reasoning.
Often Used With
Databricks Agent Bricks
Framework for building, evaluating, and deploying domain-specific AI agents on a lakehouse platform.
Databricks Unity Catalog
Unified governance layer for managing access, lineage, and quality of data and AI assets across a lakehouse.
Databricks SQL
Serverless SQL analytics engine built on the Databricks Lakehouse, delivering high-performance queries with elastic scaling and open data formats.
dbt
SQL-based data transformation tool that builds and tests data models in warehouses via version-controlled code.
MLflow
Open-source ML lifecycle management platform for experiment tracking, model versioning, and reproducible deployment, developed and maintained by Databricks.
Databricks Delta Lake
Open-source storage layer that brings ACID transactions, scalable metadata handling, and unified streaming and batch data processing to data lakes.
Databricks Lakeflow
Databricks’ declarative pipeline framework for real-time data ingestion, transformation, and validation within the Data Intelligence Platform.
Databricks Notebooks
Collaborative notebook environment for data science, ML, and AI development on the Databricks platform.
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