Microsoft recently launched two accelerators for industrial transformation: Azure’s adaptive cloud approach and Azure IoT Operations. These accelerators will be on display at Hannover Messe 2024 from April 22 to April 26, 2024.
Today, we’ll build on our resilience blog post series by going further in sharing how workload identities gain resilience from the regionally isolated authentication endpoints as well as from the backup authentication system.
Microsoft has put together several resources to help you get started. Whether you are ready to build your own copilot or you’re at the very beginning of your learning journey, read on to find the best and free resources from Microsoft on generative AI training.
We are introducing RESIN, an end-to-end memory leak detection service designed to holistically address memory leaks in large cloud infrastructure.
Within Azure for Operators, we are taking advantage of the significant investments Microsoft has made and its expertise in programming foundation models by developing technical solutions that will give our customers a competitive advantage.
At the Migrate to Innovate digital event, you’ll learn how Azure provides an optimized platform to fully embrace AI while addressing your most pressing business priorities by maximizing ROI, performance, and resilience.
Our job at Microsoft is to help you understand how the AI era can benefit your organization and trust the AI solutions you deploy are done so safely and responsibly. On that note, here’s a look at some of the innovations and updates we’ve announced recently.
Today, we are announcing that Azure AI Search, a modern retrieval system for AI applications, now has drastically larger vector capacity and compute without any increase in price, so customers can run RAG at any scale, at a lower cost.
Welcome to season two of Cloud Cultures, a video series that explores local cultures’ distinct approaches to cloud innovation.
We recently published our Microsoft Azure: The State of AI Infrastructure report. This is the first-ever report of its kind, which discusses the opportunities and challenges associated with leveraging AI infrastructure.
To help customers meet new AI quality and safety challenges, we’re announcing new tools now available or coming soon to Azure AI Studio for generative AI app developers.
Microsoft Azure has delivered industry-leading results for AI inference workloads amongst cloud service providers in the most recent MLPerf Inference results published publicly by MLcommons. The Azure results were achieved using the new NC H100 v5 Virtual Machines (VMs) and reinforced the commitment from Azure to designing AI...
Today, we are excited to announce a reimagined data governance experience within Microsoft Purview, available in preview April 8, 2024. This new software as a service (SaaS) experience offers sophisticated yet simple business-friendly interaction, integration across data sources, AI-enabled business efficiency, and actions and...
The Intelligent Data Platform is a suite of recommended AI, analytics, database, and security products and services. It includes our best offerings, delivering seamless data integration and real-time business intelligence required for powerful decision making, organizational performance, and innovation.
Microsoft and Red Hat commissioned Forrester Consulting to conduct a Total Economic ImpactTM (TEI) study of Red Hat Enterprise Linux on Azure, based on interviews with customers who have migrated their RHEL workloads to Azure. Using the data derived from these interviews, Forrester analysts created a ‘composite organization’...
Learn what’s coming next in Windows Server 2025, get best practices for security and identity, and hear tips for cloud migration and hybrid cloud management.
At Microsoft, our commitment to empowering developers and advancing technology remains steadfast. We understand the importance of open-source projects in driving innovation, which is why we actively support and contribute to initiatives like Redis.
The Microsoft Azure Container Networking team is excited to announce Retina, a cloud-native container networking observability platform that helps with DevOps and SecOps related networking cases for your Kubernetes clusters.
This innovative solution provides seamless integration of borehole data into petrophysical and geological models, enabling users to view, filter, and deliver data to the OSDU™ Data Platform with ease. Learn more.
Forrester’s Total Economic Impact™ study highlights the financial benefits of infusing AI with cutting-edge innovation from Azure AI services. Learn More.
Autonomous vehicles, also known as self-driving cars, have the potential to truly revolutionize the transportation industry, with its impact anticipated across many industries. Several stubborn obstacles, however, stand in the way of mass adoption.
We are highlighting four companies who have strategically adopted Azure OpenAI Service to create more dynamic, efficient, and personalized communication methods for customers and employees alike.
We are excited to introduce Phi-3, a family of small open models with the capability of 10 times larger models, developed by Microsoft and optimized for Azure AI.
As developers and businesses explore the potential for Microsoft Cloud and AI capabilities, demand for those services continues to rise. Ensuring that the right infrastructure is in place at the right locations at the right time and with enough capacity to meet those needs—today and in the future—is a tall order. Our cloud...
