In the Catalyst series, we explore the transformative power of AI by showcasing visionary companies driving scientific and industry breakthroughs powered by Azure and NVIDIA. This video series spotli...

Enterprise AI has entered a new phase. For much of the past decade, the challenge was building enough compute for machine learning. Today, organizations need platforms for foundation model training, ...

Author's Note: Vendor names referenced in this article are used solely as illustrative architectural examples and should not be interpreted as endorsements, recommendations, or advertisements. Intr...

Solution at a glance  Source image  →  Packer build  →  Azure Compute Gallery  →  Validation VM  →  Evidence  →  Controlled promotion  Introduction  Maintaining enterprise virtual machine i...

Azure Virtual Machine Scale Sets (VMSS) are useful when an application needs to run across multiple virtual machines while automatically scaling based on demand. Instead of configuring every VM manua...

By Sherry Xu, Prashant Ranjan, Torsten Hoefler   As we enter the era of frontier-scale intelligence, the economics of AI are increasingly determined not by peak compute performance but by how eff...

Whether you are troubleshooting an application issue at 2 a.m., validating a deployment plan before a release, optimizing cloud resources, or improving workload resiliency, the challenge is finding t...

A Successful Demo Is Not a Production Platform Getting GitHub Actions runners working on Azure Kubernetes Service (AKS) with Actions Runner Controller (ARC) is relatively straightforward. Within a ...

The next era of AI infrastructure will be defined not by a single breakthrough, but by how well we co-design every layer—from models and software to silicon, servers, racks and datacenters. At the Op...