Audience

Developers, data scientists, and enterprises seeking a secure, scalable environment to explore, integrate, and deploy state-of-the-art AI models within Microsoft Azure’s trusted cloud ecosystem

About Azure Model Catalog

The Azure Model Catalog within Azure AI Foundry is a unified hub for discovering, deploying, and managing AI models across Microsoft’s ecosystem. It features a curated selection of advanced models such as GPT-5, GPT-4.1, Sora-2, DeepSeek-R1, Phi-4-mini-instruct, and Mistral-Nemo. Each model is optimized for specific tasks—ranging from reasoning and analytics to video generation and coding—offering enterprises flexible, high-performance AI capabilities. The catalog connects seamlessly with Azure OpenAI, Microsoft’s proprietary models, and partner offerings from Meta, Cohere, Mistral, and NVIDIA. Designed for developers and data scientists, it supports model experimentation, fine-tuning, and secure deployment through Azure’s enterprise-grade infrastructure. With robust compliance and scalability, the Azure Model Catalog empowers users to design intelligent, trustworthy, and production-ready AI solutions.

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Company Information

Microsoft
Founded: 1975
United States
ai.azure.com/catalog

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Azure Model Catalog Frequently Asked Questions

Q: What kinds of users and organization types does Azure Model Catalog work with?
Q: What languages does Azure Model Catalog support in their product?
Q: What kind of support options does Azure Model Catalog offer?
Q: What other applications or services does Azure Model Catalog integrate with?
Q: What type of training does Azure Model Catalog provide?

Azure Model Catalog Product Features

Artificial Intelligence

For Healthcare
Multi-Language
Chatbot
For Sales
Rules-Based Automation
Machine Learning
Natural Language Processing
Predictive Analytics
Virtual Personal Assistant (VPA)
Process/Workflow Automation
For eCommerce
Image Recognition

Azure Model Catalog Additional Categories