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 uso1
Empresas1
Industrias2
Casos de IA con Databricks Model Serving
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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
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Usado frecuentemente con
DL
Databricks Lakeflow
Databricks’ declarative pipeline framework for real-time data ingestion, transformation, and validation within the Data Intelligence Platform.
M
MLflow
Open-source ML lifecycle management platform for experiment tracking, model versioning, and reproducible deployment, developed and maintained by Databricks.
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.
Databricks Unity Catalog
Unified governance layer for managing access, lineage, and quality of data and AI assets across a lakehouse.
DD
Databricks Delta Lake
Open-source storage layer that brings ACID transactions, scalable metadata handling, and unified streaming and batch data processing to data lakes.
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Regístrate para leer casos de estudio completos, acceder a métricas detalladas y recibir todos los reportes.