Virtual Machines

Azure IaaS provides foundational capabilities across compute, storage, and networking to help organizations stay resilient.

As organizations accelerate digital transformation, infrastructure decisions increasingly shape how quickly teams can adopt AI, how reliably applications operate at global scale, and how effectively businesses respond to constant change.

Microsoft delivers the first at-scale production cluster with more than 4,600 NVIDIA GB300 NVL72, featuring NVIDIA Blackwell Ultra GPUs connected through the next-generation NVIDIA InfiniBand network.

Cobalt 100 systems are designed to deliver high performance, energy efficiency, and cost effectiveness for a wide range of workloads.

At Microsoft, secure design begins at the foundation of our computing stack—the silicon level—and extends through every layer of the cloud.

Flash enables rapid detection of issues originating from the Azure platform, helping teams respond quickly to infrastructure-related disruptions.

Learn more about the solutions that Microsoft and Red Hat have to offer that drive technological advancements and empower organizations.

Together, Microsoft and NVIDIA are accelerating some of the most groundbreaking innovations in AI. We are excited to continue innovating with several new announcements from Microsoft and NVIDIA that further enhance our full stack collaboration.

We are excited to announce the general availability of the new Azure Cobalt 100 Virtual Machines (VMs). These VMs run on Microsoft’s first fully custom Arm-based Cobalt 100 CPU and represent a significant milestone in our end-to-end approach to building cloud infrastructure.

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 recently published our Microsoft Azure: The State of AI Infrastructure report. This is the first-ever report of its kind, which discusses the opportunities and challenges associated with leveraging AI infrastructure.

Microsoft Azure has delivered industry-leading results for AI inference workloads amongst cloud service providers in the most recent MLPerf Inference results published publicly by MLcommons.