Effortlessly modernize classic ASP.NET apps with Managed Instance on Azure App Service. Enjoy frictionless migration, minimal code changes, and great control with custom software support. Get benefits of VMs with agility, security & scalability of PaaS.

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In this hands-on lab, you will learn how to migrate traditional workloads to AKS using containerization and AKS Automatic, while enhancing functionality through integration with Azure PaaS services. We'll also explore how GitHub Copilot Application Modernization accelerates the process with AI-assisted coding and intelligent refactoring, helping teams streamline modernization and unlock cloud-native capabilities faster.

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Azure and NVIDIA Omniverse are transforming how SDCs, GSIs, and enterprises build Digital Twins, Simulation, and Physical AI workloads. As a unified platform, they enable immersive 3D collaboration, real-time monitoring, and physics-based simulations to optimize operations. Physical AI accelerates Human-Robot-AI collaboration via synthetic 3D data and Large Action Model training. Real-world scenarios show partners driving innovation and excellence.

Azure Network is the backbone of Microsoft’s cloud vision—enabling secure, scalable, and high-performance connectivity across the globe.

Discover the evolution of Azure networking innovations across its networking foundations, connectivity, application delivery and security. Learn how these advancements boost multi-region deployment, security, and performance at scale. Hear real-world examples on how organizations are architecting resilient, intelligent, and hybrid cloud infrastructures.

Delivered in a silent stage breakout.

Azure sets new inference records with 865K and 1.1M tokens/sec on ND GB200/GB300 v6 VMs. These results stem from deep stack optimization—from GPU kernels like GEMM and attention to multi-node scaling. Using LLAMA benchmarks, we’ll show how model architecture and hardware codesign drive throughput and efficiency. Customers benefit from faster time-to-value, lower cost per token, and production-ready infrastructure. Attendees can connect with Azure engineers to discuss best practices.

Experience the power of the newly launched NVIDIA Blackwell GPUs, designed to accelerate a wide array of workloads including video streaming, graphics rendering, product design, digital twins, and AI development. Explore the latest GPU offerings with Azure Cloud and learn how to leverage Azure Local for cost-effective hybrid deployments of cutting-edge use cases. We will also provide sizing recommendations and deployment options for various workloads.

North America’s leading diagnostics laboratory partnered with Tata Consultancy Services (TCS) to reimagine its patient requisition management system using Microsoft Azure AI. Historically, lab requisition processes were fragmented and relied on manual steps, causing inefficiencies. TCS implemented an Azure AI-infused cloud solution automating workflows across 500+ patient centers, processing 20,000+ requisitions daily with 30% higher efficiency and <5 min SLA. This collaboration showcases how Azure AI drives innovation and digital transformation in healthcare diagnostics.

Equinor, a $100B global energy leader partnered with Tessell to migrate 700+ Oracle and SQL Server databases to Azure - without re-architecting. With cloud-native HA/DR, automation, and cost visibility, they achieved 65% efficiency gains and cut provisioning from weeks to hours. Not theory: this is a real, enterprise-tested approach to modernizing mission-critical databases at scale. It’s secure, efficient, and built for the cloud.

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

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Learn to leverage agent-framework, the new unified platform from Semantic Kernel and AutoGen engineering teams, to build A2A compatible agents similar to magnetic-one. Use SWE Agents (GitHub Copilot coding agent and Codex with Azure OpenAI models) to accelerate development. Implement MCP tools for secure enterprise agentic workflows. Experience hands-on building, deploying, and orchestrating multi-agent systems with pre-release capabilities. Note: Contains embargoed content.

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In this hands-on lab, you’ll build a Knowledge Base using agentic RAG, the next evolution of retrieval in Azure AI Search. Connect your agentic retrieval engine to your data through smart source selection across multiple indexes and storage systems. Learn how to enhance planning using natural language guidance and generate grounded responses with citations or extractive answers tailored to your use case. By the end, you’ll have a fully functional Knowledge Base that responds over enterprise data.

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Join us to learn how to deploy the #1 Physical Reasoning vision language model, NVIDIA Cosmos Reason on Azure. Discover how to use Cosmos Reason across 3 main use cases for: - Data curation and annotation to accelerate the creation of high-quality training datasets - Robot planning and reasoning to train robot vision language action models - Video analytics to analyze live or pre-recorded content

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Learn how to seamlessly modernize a Linux application stack in Azure. Participants will be able to step through the migration process with a Linux/Postgres/Java application and utilize infrastructure as a code (IaC) for scale migrations.

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In this hands-on lab, discover how to govern AI Apps & Agents using AI Gateway in Azure API Management. Learn to apply governance best practices by onboarding AI models, monitoring and controlling token usage, enforcing safety and compliance, and boosting performance with semantic caching. You’ll also govern MCP-based agent architectures by creating secure, efficient servers from APIs or connecting to backend MCP servers, equipping you to deliver responsible, resilient AI solutions at scale.

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Understand the Start, Get, and Stay Resilient journey. Get equipped with tools & insights to architect mission critical applications with Azure’s Resiliency and Configuration experiences. Assess your resiliency posture, apply recommendations, validate your posture and orchestrate recovery. With the Essentials Machine Management bundle from Azure, manage and maintain the state of your resources, enforce configurations across devices and ensure resilience is not a one-time goal but an ongoing state.

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Edge computing is revolutionizing industries by enabling real-time data processing, reducing latency, and powering smarter decision-making. AT&T’s robust 5G and fiber networks, integrated with Microsoft Azure Edge solutions, provide the infrastructure for innovations like smart factories, predictive maintenance, and hybrid work environments. Together, these capabilities are driving efficiency and transforming operations across diverse sectors.

Discover how Elasticsearch’s powerful vector database capabilities and the robust Azure AI Foundry Agent Framework combine to power smarter agents. View how to synthesize information from diverse data sources and how to use A2A and MCP for orchestrating complex tasks. Learn how to design and apply intelligent agents for scalable information retrieval, task coordination, and integration across systems.

Join us for a session to wrap up Azure Data announcements & road map track with an Ask Me Anything session with Azure Data Senior Leadership. This is your opportunity to ask follow-up questions for all the things you want to know, ask those future looking road map questions or even “help us understand why you chose X?”

Discover how to reduce your containerized application’s vulnerability footprint by leveraging the Azure Linux stack end-to-end. In this session, you’ll learn how to build distroless Azure Linux containers and deploy them on AKS nodes running Azure Linux. We’ll show you how this integrated approach minimizes CVEs, simplifies security management, and delivers a hardened environment for your workloads—all without sacrificing agility.

Continuing to install applications into desktop images erodes the benefits of modern Windows technologies, including Intune, Windows 365, and Azure Virtual Desktop.

Discover how AI packaging alleviates the most significant application headaches IT faces when adopting modern Windows desktops platforms, including legacy app compatibility issues, slow deployment times, the frequency of updates, image sprawl, and disk storage consumption.