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AI study guide: The no-cost tools from Microsoft to jump start your generative AI journey (azure.microsoft.com)

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.

Meeting the hardware demand for cloud capacity, AI services (azure.microsoft.com)

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...

Cloud Cultures, Part 6: Accelerating collective growth in Malaysia (azure.microsoft.com)

Amidst the swiftly changing digital landscape, Malaysia stands out as a dynamic force capturing global attention. This nation—enriched by its diverse population comprised of Malays, Indians, Chinese, and more—is home to people and companies that have adeptly embraced innovative technologies, ensuring the benefits extend to...

What’s new in Azure Data, AI, and Digital Applications: Helping you navigate the fast pace of change (azure.microsoft.com)

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.

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications (azure.microsoft.com)

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.

Azure Maia for the era of AI: From silicon to software to systems (azure.microsoft.com)

Fueling groundbreaking innovations, Azure AI infrastructure comprises of technology from NVIDIA, AMD, and our own AI accelerator, as we announced last November. In this blog, we will dive deeper into the technology and journey of developing Azure Maia 100, Microsoft’s first in-house AI accelerator optimized for Microsoft...

Microsoft Azure delivers game-changing performance for generative AI Inference (azure.microsoft.com)

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...

Introducing modern data governance for the era of AI (azure.microsoft.com)

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 Microsoft Intelligent Data Platform—Unleash your data and accelerate your transformation (azure.microsoft.com)

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.

Using Microsoft Azure Virtual Network Manager to enhance network security (azure.microsoft.com)

By using Azure Virtual Network Manager, the governance team can create and update these network baselines at the network manager level, and apply them to multiple NSGs at once, ensuring that some critical security policies are enforced across the organization.

The business impact of migrating Red Hat Enterprise Linux to Azure (azure.microsoft.com)

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’...

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