Every Copilot prompt or Microsoft Teams call runs on infrastructure most users never see. Behind these experiences across general purpose compute and AI is a purpose-built, end-to-end hardware and so...

Audience: Platform Engineering, Cloud Architects, Security Teams, and Developer Leads Purpose: A practical, opinionated guide to plan, implement, and scale Microsoft Dev Box—covering decisions, tra...

Maia 200 is a breakthrough inference architecture engineered to dramatically shift the economics of large-scale token generation. As Microsoft’s first silicon and system platform optimized specifical...

Introduction As datacenters scale to support modern digital life, so does the challenge of keeping memory reliable. Even very rare DRAM faults can translate into an unacceptable number of uncorrect...

When managing Azure Kubernetes Service (AKS) clusters at scale, the ability to create multiple node pools in parallel can significantly reduce provisioning time. In this article, I'll share my journe...

Introduction: Why embodied carbon in cloud hardware matters  At Microsoft, 97% of our greenhouse gas (GHG) emissions fall under the Scope 3 category, with the majority originating in our supply cha...

Tackling Fragmentation in AI Drug Discovery In modern drug discovery, scientists often grapple with fragmented workflows that hinder innovation. Critical tasks, such as hypothesis generation, molec...

Why SAP on Azure Matters: Azure gives SAP systems the performance, stability, and global reach they need. It also includes built-in tools for analytics, AI, governance, and security, which are all es...

Deployment Stacks: Deployment Stacks are a logical grouping of Azure resources defined using Bicep or ARM. When you deploy a stack: Azure tracks which resources belong to that stack You can u...

As an Infra Architect working with large, security-sensitive enterprise environments, one principle consistently guides infrastructure architects: If a platform can't operate inside a private netwo...