10,000+ AI Models in Microsoft Foundry?! | 2 Ways to Deploy AI Models

What if you could choose from 10,000+ AI models for your next AI project? In this video, we continue our journey into Microsoft Foundry and explore its Model Catalog — how to discover the right model, compare models, and deploy them for your AI applications. 🔹 10,000+ AI models from different providers 🔹 How to filter models based on provider, task, region and other criteria 🔹 How to evaluate models based on quality, safety, throughput and cost 🔹 Understanding the TWO ways to deploy AI models 🔹 Serverless API vs Managed Compute 🔹 How Microsoft Foundry makes it easier to work with different models and providers 🔹 A practical walkthrough of finding and deploying models in Microsoft Foundry The key takeaway: you don't always need to build your AI solution around a single model or provider. With a large model catalog and multiple deployment options, you can evaluate models based on your use case, performance, safety, availability and cost. 🎥 Watch till the end for a practical look at model selection and deployment in Microsoft Foundry. 📌 If you're exploring AI, Generative AI, Azure AI or Microsoft Foundry, this video will give you a practical understanding of how the model catalog and deployment options work.