NVIDIA DeepStream Development with Microsoft Azure

This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Tech Community.

Microsoft and NVIDIA have partnered to create a new Learning Path available on the Microsoft Learn Platform, titled “NVIDIA DeepStream development with Microsoft Azure”. 

 

DS On Azure.PNG

 

This collection of modules guides developers in creating production-ready Intelligent Video Applications (IVAs) that can apply optimized audio and computer vision AI models to multiple input sources using features available in the latest release of the NVIDIA DeepStream SDK.  Developers will learn how to build cross-platform container workloads that can be deployed to server or edge hardware using the DeepStream Graph Composer development environment. 

 

DS On Azure2.PNG

 

The DeepStream Graph Composer is a first of it’s kind IDE that simplifies construction of AI inferencing pipelines which leverage GPU acceleration using intuitive drag-and-drop components to drive development through a visual interface.   

 

composer-test4.png

 

By pairing the NVIDIA DeepStream development workflow with Azure IoT Edge, we walk through the process of creating Enterprise grade IVA solutions that allow for remote deployment, runtime configuration, and monitoring in production.  With NVIDIA DeepStream and Microsoft Azure IoT Services, we are able to support the latest in AI development tooling to drive scalable deployment of AI solutions in the cloud and on the edge. 

 

cloud-interface.png

 

Learn more by checking out the Learning Path at https://aka.ms/LearnDeepStream.

REMEMBER: these articles are REPUBLISHED. Your best bet to get a reply is to follow the link at the top of the post to the ORIGINAL post! BUT you're more than welcome to start discussions here:

This site uses Akismet to reduce spam. Learn how your comment data is processed.