#SLIDE IGNITE MICROSOFT EDGE HOW TO#

Delivering GPU-Powered Engineering Simulation on the Cloud: GPU-enabled simulation is a new type of technology that is opening up tremendous opportunities for designers and other “upstream” engineers to use simulation.Featuring Deepu Talla, vice president and general manager of embedded and edge computing at NVIDIA, and Moe Tanabian, vice president and general manager of Azure AI/edge devices, platforms and services at Microsoft. Get a behind-the-scenes look at the technology that makes it possible, including Microsoft Azure Percept and Azure Stack HCI.

#SLIDE IGNITE MICROSOFT EDGE HOW TO#

Automate Your Operations with Edge AI: Discover how to use edge AI for your automation needs.Register for the show now and check out the sessions: And NVIDIA and Microsoft recently teamed up to train Megatron-Turing NLG 530B, the world’s largest and most powerful language model.Īt Microsoft Ignite, teams from NVIDIA and Microsoft - along with special guests from Shell and Stanford University - will host sessions on how to use the combined power of NVIDIA accelerated computing and Azure cloud-to-edge solutions to transform AI, edge, IoT, visualization, and virtual and augmented reality applications. GPU-accelerated computing solutions also power low-latency, real-time applications at the edge with Azure’s Intelligent Edge solutions. Powered by NVIDIA A100 Tensor Core GPUs and NVIDIA networking, it enables supercomputer-class AI and HPC workloads in the cloud. The new ND A100 v4 VM GPU instance is one example. As AI continues to transform global industries such as retail, manufacturing and healthcare, NVIDIA has been working with Microsoft to deliver technology breakthroughs in the public cloud, at the intelligent edge and in AI research.

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