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Data quality: Editorially Reviewed
Process automation
Model evaluation
API / SDK
MLOps & model tooling
Usage-based
Private cloud / VPC
ML lifecycle & data
Model Serving
SaaS (vendor-hosted)
GPU & Compute
Model inference
Cross-industry / Horizontal
Fine-tuning
Enterprise / custom quote
Retrieval-augmented generation

Azure AI Foundry

MLOps & model tooling

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Overview

Azure AI Foundry provides model access, development tools, evaluation, customization, safety controls, and deployment workflows. Teams use it to build generative-AI applications using Azure-managed infrastructure and models.

Pricing model
Usage-based
Deployment
SaaS (vendor-hosted), Private cloud / VPC, API / SDK
Regions served
Global
Categories
Process automation, Model evaluation, API / SDK, MLOps & model tooling, Usage-based, Private cloud / VPC, ML lifecycle & data, Model Serving, SaaS (vendor-hosted), GPU & Compute, Model inference, Cross-industry / Horizontal, Fine-tuning, Enterprise / custom quote, Retrieval-augmented generation
Last updated
6 October 2026
Published
6 October 2026

Use cases

ML lifecycle & data
Model evaluation
Process automation

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
azure.microsoft.com
Sources cited
1
Last reviewed
5 October 2026
Last updated
6 October 2026

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