Speaking of NVIDIA, Microsoft Developer takes a look at the latest device in the NVIDIA Jetson line of GPU-accelerated IoT devices, the Jetson Xavier NX.

A device which brings supercomputer-class performance to Edge applications in an ultra-compact form-factor.

To demonstrate this, we configure the device with Azure IoT Edge and deploy the NVIDIA DeepStream SDK Module from the Azure Marketplace to produce object detection telemetry with Azure Stream Analytics then push those results into Time Series Insights and Power BI.

Come see how the pairing of NVIDIA devices and Azure IoT Services make for a first-class solution of AI at the Edge!

Learn more about NVIDIA DeepStream on IoT Edge: https://aka.ms/iotshow/NVIDIADeepStream

Mahesh Yadav, Software Engineer on the Intelligent Edge team, joins the IoT Show to unbox the Microsoft Vision AI DevKit (aka.ms/iotshow/visionaidevkit), a smart camera for the intelligent edge.

The developer kit uses the Qualcomm’s Vision Intelligence 300 Platform which uniquely runs machine learning with hardware acceleration delivering results in milliseconds which is perfect for connected car or connected factory scenarios where you need low latency as well as support offline scenarios.

In this episode, you will see how easy it is to bring up AI on the edge with Azure IoT Edge and Azure Machine Learning.

The DevKit includes a sample AI model that identifies 183 objects including people, laptops, chairs and more. The highlight of the show is a real-time camera demo that asserts that both Mahesh and Olivier really are people.

And it’s always good when an AI affirms your personhood. 😉