Enterprise Multi-Model AI on Azure: Designing an End-to-End Platform from Silicon to Secure Agents
Discover how to design a comprehensive AI platform on Azure that integrates diverse models while ensuring security, reliability, and cost efficiency.
Evolving PostgreSQL Operations: From Self-Managed Servers and Kubernetes StatefulSets to Managed Cloud Services
Discover how the shift to managed PostgreSQL services transforms operations, enhancing performance, resilience, and security for modern applications.
Designing an AI FinOps
Explore how enterprises can effectively implement AI FinOps to create controllable and measurable systems for enhanced financial management.
Platform Convergence for AI-Native Apps: Managed Runtimes, Sandboxed Agents, and API Governance in Azure
Discover how Azure’s cloud-native platforms are transforming AI-native applications with advanced managed runtimes, sandboxed agents, and robust API governance.
Microsoft Foundry’s GPT-5.6 and Hosted Agents: Building Production-Grade Agent Systems Across Regions
Discover how Microsoft’s latest updates enhance AI systems with GPT-5.6 and hosted agents, ensuring reliability and efficiency across regions.
AI-ready managed databases: reliability and vector search across Microsoft SQL Server, Azure SQL Database, PostgreSQL, and Cosmos DB
Discover how AI-ready managed databases enhance reliability and vector search capabilities across top platforms like Microsoft SQL Server and Azure SQL…
Scaling Domain-Specific AI with Managed GPU Compute: Multi-Model Telecom Workloads at Trillion-Token Scale
Discover how managed GPU compute is transforming telecom AI by efficiently handling complex, domain-specific workloads at unprecedented scales.