Azure

AI is transforming industries, automating processes, and opening new opportunities for innovation in the rapidly evolving technological landscape. As more...

A fundamental shift is currently taking place in how AI applications are built and deployed. AI applications are becoming more sophisticated and applied to...

Join experts from NVIDIA and Microsoft on November 30 to discover the latest development in deep learning through hands-on demos and practical guidance for getting started on the cloud.

As enterprises continue to shift workloads to the cloud, some applications need to remain on-premises to maximize latency performance and meet security, data...

Every AI application needs a strong inference engine. Whether you’re deploying an image recognition service, intelligent virtual assistant, or a fraud...

Machine Learning (ML) is increasingly used to make decisions across many domains like healthcare, education, and financial services. Since ML models are being...

Azure recently announced support for NVIDIA’s T4 Tensor Core Graphics Processing Units (GPUs) which are optimized for deploying machine learning inferencing...

Windows Virtual Desktop If you’re supporting the recent influx in remote work, you’ve probably noticed that business applications are more graphics-heavy...

Cloud computing is all about making resources available on demand, and its availability, flexibility, and lower cost has helped it take commercial computing by...