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As developers continue to develop and deploy AI applications at scale across organizations, Azure is committed to delivering unprecedented choice in models as well as a flexible and comprehensive toolchain to handle the unique, complex and diverse needs of modern enterprises. This powerful combination of the latest models and cutting-edge tooling empowers developers to create…
We’re excited to announce significant updates for Azure OpenAI Service, designed to help our 60,000 plus customers manage AI deployments more efficiently and cost-effectively beyond current pricing. With the introduction of self-service Provisioned deployments, we aim to help make your quota and deployment processes more agile, faster to market, and more economical. The technical value…
Learn how Azure AI, combined with NVIDIA AI, can help you create innovative and intelligent solutions using your preferred tools and workflows. An explosion of interest in generative AI across many industries has sparked, a direct result of the collaboration of Microsoft and NVIDIA and the breakthrough technology behind OpenAI’s ChatGPT. As a result, artificial…
Microsoft is empowering developers to become AI developers, bringing Azure AI industry leading models to the global GitHub community of more than 100 million More than 60,000 organizations use Microsoft Azure AI today to explore the power of custom AI applications. However, the market is quickly moving from experimentation to scale, and we see more…
AI is transforming every industry and creating new opportunities for innovation and growth. But, developing and deploying AI applications at scale requires a robust and flexible platform that can handle the complex and diverse needs of modern enterprises and allow them to create solutions grounded in their organizational data. That’s why we are excited to…
As the digital landscape rapidly evolves, AI stands at the forefront, driving significant innovation across industries. However, to fully harness the power of AI, businesses must be AI-ready; this means having defined use-cases for their AI apps, being equipped with modernized databases that seamlessly integrate with AI models, and most importantly, having the right infrastructure…