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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.
Azure: Empowering the World with High-Ambition AI and HPC
Girish Bablani, CVP, A and Ian Buck, VP Data Center, NVIDIA
Get to Solutioning: Strategy and Best Practices When Mapping Designs from Edge to Cloud
Paul DeCarlo Principal Cloud Advocate Microsoft
The Possibilities of Intelligence: How GPUs are Changing the Game across Industries
Rishabh Gaur Technical Architect Microsoft
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
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
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
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
Accelerating AD/ADAS Development with Auto-Machine Learning + Auto-Labeling at Scale
Henry Bzeih CSO/CTO Automotive Microsoft Willy Kuo Chief Architect Linker Networks
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
Latest Enhancements to CUDA Debugger IDEs
Julia Reid Program Manager 2 Microsoft Steve Ulrich Software Engineering Manager NVIDIA
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
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
Building GPU-Accelerated Pipelines on Azure Synapse Analytics with RAPIDS
Rahul Potharaju Principal Big Data R&D Manager Microsoft Alexander Spiridonov Solution Architect NVIDIA
Introducing NVIDIA Nsight Perf SDK: A Graphics Profiling Toolbox
Avinash Baliga Software Engineering Manager NVIDIA Austin Kinross Senior Software Engineer Microsoft
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
Accelerating Deep Learning Inference with OnnxRuntime-TensorRT
Steven Li Software Engineer Microsoft Kevin Chen NVIDIA Peter Pyun Principal Data Scientist NVIDIA
Build Immersive Mixed-Reality Experiences with Azure Remote Rendering.
Rachel Peters Senior Program Manager Azure Remote Rendering, Microsoft
ONNX Runtime: Accelerating PyTorch and TensorFlow Inferencing on Cloud and Edge
Peter Pyun Principal Data Scientist NVIDIA Emma Ning Senior Product Manager Microsoft
Microsoft Azure InfiniBand HPC Cloud User Experience and Best Practices
Gilad Shainer SVP Marketing, Networking NVIDIA Jithin Jose Senior Software Engineer, Microsoft Azure Microsoft
Enterprise ready ML Model Training on NVIDIA GPUs across Hybrid Cloud, leveraging Kubernetes
Saurya Das Product Manager, Azure ML Microsoft
Bringing AI to the Edge
Rishabh Gaur Technical Architect Microsoft
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.