product
Data quality: Editorially ReviewedProcess automation
AI infrastructure & hosting
Model monitoring
API / SDK
Usage-based
Private cloud / VPC
Model Serving
SaaS (vendor-hosted)
GPU & Compute
Model inference
Cross-industry / Horizontal
Fine-tuning
Enterprise / custom quote
Databricks Model Serving
AI infrastructure & hosting
Overview
Databricks Model Serving is a managed endpoint service for machine-learning and generative-AI models. It hosts custom and fine-tuned models alongside foundation-model APIs, with autoscaling, governance, and monitoring capabilities.
- Pricing model
- Usage-based
- Deployment
- SaaS (vendor-hosted), Private cloud / VPC, API / SDK
- Regions served
- Global
- Categories
- Process automation, AI infrastructure & hosting, Model monitoring, API / SDK, Usage-based, Private cloud / VPC, Model Serving, SaaS (vendor-hosted), GPU & Compute, Model inference, Cross-industry / Horizontal, Fine-tuning, Enterprise / custom quote
- Last updated
- 6 October 2026
- Published
- 6 October 2026
Use cases
Process automation
Model monitoring
Deployment options
SaaS (vendor-hosted)
Private cloud / VPC
API / SDK
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- databricks.com
- Sources cited
- 1
- Last reviewed
- 5 October 2026
- Last updated
- 6 October 2026
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