Why observability matters for generative AI Generative AI systems operate in complex and dynamic environments. Without systematic evaluation and monitoring, these systems can produce outputs that a...

Introduction: When an Azure subscription is shifted between directories (Azure AD tenants), the Azure Container Registry (ACR) cannot be directly transferred in its current state. This blog outline...

In the next major step in our AI Infrastructure evolution, last week we introduced Maia 200, a breakthrough inference accelerator engineered to dramatically improve the economics of AI token generati...

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...