Databricks Model Serving
Servicio de despliegue de modelos sin servidor dentro de Databricks que permite inferencia en tiempo real y por lotes a escala sin gestión manual de infraestructura.
Casos de uso3
Empresas3
Industrias3
Casos de IA con 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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Modelos usados con
GPT-4
OpenAI's GPT-4 large language model for general-purpose text generation and reasoning.
Usado frecuentemente con
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.
Databricks Lakeflow
Databricks’ declarative pipeline framework for real-time data ingestion, transformation, and validation within the Data Intelligence Platform.
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 Notebooks
Collaborative notebook environment for data science, ML, and AI development on the Databricks platform.
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