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Democratizing FinOps: Transform your practice with FOCUS and Microsoft Fabric 


With new developments like Copilot in Microsoft Cost Management and Microsoft Fabric, there couldn’t be a better time to take a fresh look at how you manage cost within your organization and how you can leverage the FinOps Framework and the FinOps Open Cost and Usage Specification (FOCUS) to accelerate your FinOps efforts.

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Advancing hybrid cloud to adaptive cloud with Azure 


The need for a unified platform and system to address these challenges is evident. We believe Azure is the platform that can help, and we have been investing in Azure Arc to solve these problems. We see an opportunity to do more by bringing together agility and intelligence so that our customers can proactively adapt to change, rather than react to it and maintain a competitive edge in a dynamic landscape. 

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Published • 6 min read

Microsoft Azure delivers purpose-built cloud infrastructure in the era of AI 


With Azure, you can trust that you are on a secure and well-managed foundation to utilize the latest advancements in AI and cloud-native services. Azure is adaptive and purpose-built for all your workloads, helping you seamlessly unify and manage all your infrastructure, data, analytics, and AI solutions. 

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Microsoft Azure AI, data, and application innovations help turn your AI ambitions into reality 


Welcome to Microsoft Ignite 2023! The past year has been one of true transformation. Companies are seeing real benefits today and are eager to explore what’s next—including how they can do more with their data investments, build intelligent applications, and uncover what AI can do for their business.

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Published • 4 min read

Azure sets a scale record in large language model training 


Customers need reliable and performant infrastructure to bring the most sophisticated AI use cases to market in record time. Our objective is to build state-of-the-art infrastructure and meet these demands. The latest MLPerf™ 3.1 Training results1 are a testament to our unwavering commitment to building high-quality and high-performance systems in the cloud to achieve unparalleled efficiency in training LLMs at scale.

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