Azure Machine Learning

Microsoft is expanding its cloud infrastructure across Asia to help organizations scale with secure, AI-ready services. Learn more.

In our technical guide, “Accelerating Generative AI Innovation with Cloud Migration” we outline how IT and digital transformation leaders can tap into the power and flexibility of Azure to unlock the full potential of generative AI.

This blog breaks down the available pricing and deployment options, and tools that support scalable, cost-conscious AI deployments.

We’re proud to share that Microsoft has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms.

In the Cloud Cultures series, leaders from 12 different countries share how they’re tackling some of the world’s most complex challenges.

At Microsoft Ignite in November 2024, we announced offerings and resources to empower software companies in the landscape of AI-powered experiences.

Azure is designed to unify operations, streamline application development, and consolidate data management across distributed infrastructures.

Summarizing new capabilities this month across Azure AI portfolio that provide greater choices and flexibility to build and scale AI solutions.

Our customers rely on Azure AI infrastructure to develop innovative AI-driven solutions, which is why we are delivering new cloud-based AI-supercomputing clusters built with Azure ND H200 v5 series virtual machines (VMs) today.

We’re excited to announce several updates to help developers quickly create AI solutions with greater choice and flexibility leveraging the Azure AI toolchain.

Microsoft is a Leader in this year’s Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. Azure AI provides a powerful, flexible end-to-end platform for accelerating data science and machine learning innovation.

By harnessing the might of PostgreSQL in the cloud—with all the scalability and convenience you expect—comes Microsoft Azure Database for PostgreSQL.