Azure Data Box offline data transfer solution allows you send petabytes of data into Azure Storage in a quick, inexpensive, and reliable manner. The secure data transfer is accelerated by hardware transfer devices that enable offline data ingestion to Azure. We’re excited to announce several new service capabilities including: General availability of self-encrypted drives Azure…
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…
We are thrilled to announce the general availability of Microsoft Azure Container Storage, the industry’s first platform-managed container native storage service in the public cloud. With Kubernetes driving cloud evolution, we are witnessing a transformative shift as enterprises move from virtual machines (VMs) to containers, optimizing for scalability, flexibility, and cost efficiency. We introduce Azure…
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…