NVIDIA with Microsoft recently announced a technology collaboration focused on intelligent edge computing.
By enabling closer integration between Microsoft Azure and the NVIDIA EGX platform, the companies are working together to advance edge-to-cloud AI computing capabilities, benefiting businesses worldwide.
The NVIDIA Metropolis video analytics application framework, which runs on EGX, has been optimized to work with Microsoft’s Azure IoT Edge, Azure Machine Learning solutions and a new form factor of the Azure Data Box Edge appliance powered by NVIDIA T4 GPUs. Additionally, NVIDIA-certified off-the-shelf servers — optimized to run Azure IoT Edge and ML services — are now available from more than a dozen leading OEMs, including Dell, Hewlett Packard Enterprise and Lenovo.
NVIDIA EGX is a scalable platform that brings AI computing capabilities to the edge, starting with a tiny Jetson Nano and scaling to a rack of T4 servers. It is supported by a complete software stack with CUDA-X libraries, containers, Kubernetes, and cloud solutions such as Azure IoT.
The NVIDIA Metropolis framework includes the NVIDIA DeepStream software developer kit, which has been adopted by 100+ intelligent video analytics software providers. Among these are AnyVision, DeepVision, IronYun, Malong and RealNetworks, which are providing solutions for retail, manufacturing and smart cities.
Jensen Huang, Founder and CEO, NVIDIA
In time, this will be the largest-scale computing ever created, connecting trillions of smart sensors. NVIDIA’s and Microsoft’s platforms dovetail to offer customers an end-to-end solution from edge to cloud.
DSatya Nadella, CEO of Microsoft
In a world where computing is becoming embedded in every place and every thing, organizations require a distributed computing fabric that spans the cloud and edge.
