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 Microsoft Sessions at NVIDIA GTC


This year’s NVIDIA GTC event is certain not to disappoint. The big buzz around cloud-based NVIDIA GPUs is the introduction of deep learning and AI capabilities complementary to existing visualization, rendering, and gaming workflows. Having on-demand versatility by which GPUs can be consumed and transacted empowers greater productivity and efficiency with enhanced VDI/DaaS, real-time visualizations, and more immersive gaming & entertainment experiences.


 


This year we are sharing examples of some of the most versatile GPU-powered resources anywhere in the public cloud, with a clear understanding of maximum cost-for-performance metrics. We’re focusing on three main application use cases for GPUs:



  • Visualization, including 3D design rendering, remote rendering, and desktop virtualization

  • AI for machine learning, model training and inferencing

  • Edge Computing for hybrid scenarios, decoupled environments, and IoT device ecosystems


Microsoft Digital Sessions at NVIDIA GTC


Microsoft will be supporting the following pre-recorded sessions at GTC this year.


 

























































































































SESSION ID



TITLE



SPEAKER(S)



S32779


 



Azure: Empowering the World with High-Ambition AI and HPC


 



Girish Bablani, CVP, A and Ian Buck, VP Data Center, NVIDIA



S31060



Get to Solutioning: Strategy and Best Practices When Mapping Designs from Edge to Cloud



Paul DeCarlo Principal Cloud Advocate Microsoft



S31074



The Possibilities of Intelligence: How GPUs are Changing the Game across Industries



Rishabh Gaur Technical Architect Microsoft



S31141



Inferencing at Scale with Triton, Azure, and Microsoft Word Online



David Langworthy Architect Microsoft, Mahan Salehi Deep Learning Software PM NVIDIA, Emma Ning SPM Microsoft



S31330



Interactive Visualization of Large-Scale Super-Resolution Digital Core Samples in Azure



Kadri Umay WW CTO Process Manufacturing and Resources Microsoft Josephina Schembre-McCabe Digital Rock Technology R&D Specialist Chevron



S31582



Accelerating Large-Scale AI and HPC in the Cloud



Eddie Weill Data Scientist & Solutions Architect NVIDIA Jon Shelley HPC/AI Benchmarking Team, Principal PM Manager, Azure Compute Microsoft



S31594



Seamlessly Deploy Graphics-Intensive Geoscience Applications On-Prem and in the Cloud via Azure Stack HUB



Gaurang Candrakant Principal PM, Azure Edge + Platform Microsoft Shashank Panchangam Chief product Manager, Cloud services Halliburton



S31610



Accelerating AD/ADAS Development with Auto-Machine Learning + Auto-Labeling at Scale



Henry Bzeih CSO/CTO Automotive Microsoft Willy Kuo Chief Architect Linker Networks



S31614



Edge-Native Application Research using Azure Stack Hub by Carnegie Mellon University



Kirtana Venkatraman Program Manager 2 Microsoft James Blakley Living Edge Lab Associate Director Carnegie Mellon University Thomas Eiszler Senior Research Scientist Carnegie Mellon University



S31884



Latest Enhancements to CUDA Debugger IDEs



Julia Reid Program Manager 2 Microsoft Steve Ulrich Software Engineering Manager NVIDIA



S31873



Using Unreal Engine Anywhere from the Cloud to your HMD



Patrick Cesium xx Cesium Pete Rivera xx Microsoft Tim Woodard Senior Solutions Architect NVIDIA Sebastien Loze Epic Games Veronica Yip CloudXR Product Manager NVIDIA Sean Young Director of Global Business Development, Manufacturing NVIDIA



S32001



Deploy Compute and Software Resources to Run State-of-the-Art GPU-Supported AI/ML Applications in Azure Machine Learning with Just Two Commands



Accelerated Data Science


Krishna Anumalasetty Principal Program Manager Microsoft Manuel Reyes Gomez Developer Relations Manager NVIDIA



S32107



Building GPU-Accelerated Pipelines on Azure Synapse Analytics with RAPIDS



Rahul Potharaju Principal Big Data R&D Manager Microsoft Alexander Spiridonov Solution Architect NVIDIA



S31860



Introducing NVIDIA Nsight Perf SDK: A Graphics Profiling Toolbox



Avinash Baliga Software Engineering Manager NVIDIA Austin Kinross Senior Software Engineer Microsoft



S31644



Profiling PyTorch Models for NVIDIA GPUs



Geeta Chauhan PyTorch Partner Engineering Lead Facebook AI Gisle Dankel Software Engineer Facebook Maxim Lukiyanov Product Manager, PyTorch Profiler Microsoft



S32224



Accelerating Deep Learning Inference with OnnxRuntime-TensorRT



Steven Li Software Engineer Microsoft Kevin Chen NVIDIA Peter Pyun Principal Data Scientist NVIDIA



S32228



Build Immersive Mixed-Reality Experiences with Azure Remote Rendering.



Rachel Peters Senior Program Manager Azure Remote Rendering, Microsoft



S32240



ONNX Runtime: Accelerating PyTorch and TensorFlow Inferencing on Cloud and Edge



Peter Pyun Principal Data Scientist NVIDIA Emma Ning Senior Product Manager Microsoft



E32336



Microsoft Azure InfiniBand HPC Cloud User Experience and Best Practices



Gilad Shainer SVP Marketing, Networking NVIDIA Jithin Jose Senior Software Engineer, Microsoft Azure Microsoft



SS33079



Enterprise ready ML Model Training on NVIDIA GPUs across Hybrid Cloud, leveraging Kubernetes



Saurya Das Product Manager, Azure ML Microsoft



S31076



Bringing AI to the Edge



Rishabh Gaur Technical Architect Microsoft



S32184



Azure Live Video Analytics with Nvidia DeepStream



Avi Kewalramani Sr. Product Manager Microsoft



 


NVIDIA DLI Training Powered by Azure


Microsoft is proud to host the NVIDIA DLI instructor-led online training covering AI, accelerated computing, and accelerated data science all powered on Microsoft Azure.


 


This year’s GTC event is shaping up to mark a major leap forward in how GPUs are utilized for modern application and service development workflows.


 


 

Brought to you by Dr. Ware, Microsoft Office 365 Silver Partner, Charleston SC.

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