Join Microsoft at NVIDIA GTC, a free online global technology conference (GTC), March 20 to 23 to learn how organizations of any size can power AI innovation with purpose-built cloud infrastructure from Microsoft.
Microsoft's Azure AI supercomputing infrastructure is uniquely designed for AI workloads and helps build and train some of the industry’s most advanced AI solutions. From data preparation to model and infrastructure performance management, Azure’s comprehensive portfolio of powerful and massively scalable GPU-accelerated virtual machines (VMs) and seamless integration with services like Azure Batch and open-source solutions helps streamline management and automation of large AI models and infrastructure.
Attend NVIDIA GTC to discover how Azure AI infrastructure optimized for AI performance can deliver speed and scale in the cloud and help you reduce the complexity of building, training, and bringing AI models into production.
Don’t miss session S52469 featuring Nidhi Chappell, a recipient of the 2023 People to Watch, recognized as a high-performance computing (HPC) luminary by HPCwire. Nidhi plays a leading role in driving HPC and AI innovation, accelerating the development of science and adoption of AI by enabling access to the best infrastructure and services for Microsoft customers.
Register for NVIDIA GTC today.
Microsoft sessions at NVIDIA GTC
Add the below Microsoft sessions at GTC to your conference schedule to learn about the latest Azure AI infrastructure and dive deep into a variety of use cases and technologies.
Featured sessions
Accelerate AI Innovation with Unmatched Cloud Scale and Performance
Thursday, March 23, 2023 | 7:00 to 7:50 AM PT
Nidhi Chappell, General Manager, Azure HPC, AI, SAP and Confidential Computing, Microsoft
Kathleen Mitford, Corporate Vice President, Azure Marketing, Microsoft
Manuvir Das, Vice President of Enterprise Computing, NVIDIA
Alex Kendall, CEO and Co-Founder, Wayve
Azure’s purpose-built AI infrastructure is enabling leading organizations in AI to build a new era of innovative applications and services. The convergence of cloud flexibility and economics, with advances in cloud performance, is paving the way to accelerate AI initiatives across simulations, science, and industry. Whether you need to scale to 80,000 cores for MPI workloads, or you're looking for AI supercomputing capabilities, Azure can support your needs. Learn more about Azures AI platform, our latest updates, and hear about customer experiences.
Azure's Purpose-Built AI Infrastructure Using the Latest NVIDIA GPU Accelerators
On-demand
Matt Vegas, Principal Product Manager, Microsoft
Microsoft offers some of the most powerful and massively scalable Virtual Machines, optimized for AI workloads. Join us for an in-depth look at the latest updates for Azure’s ND-series based on NVIDIA GPUs, engineered to deliver a combination of high-performance, interconnected GPUs, working in parallel that can help you reduce complexity, minimize operational bottlenecks operations, and can deliver reliability at scale.
Talks and panel sessions
Session ID
Session Title
Speakers
Primary Topic
S51226
Accelerating Large Language Models via Low-Bit Quantization
Young Jin Kim, Principal Researcher, Microsoft
Rawn Henry, Senior AI Developer Technology Engineer, NVIDIA
Deep Learning-Inference
S51204
Transforming Clouds to Cloud-Native Supercomputing: Best Practices with Microsoft Azure
Jithin Jose, Principal Software Engineer, Microsoft Azure
Gilad Shainer, SVP Networking, NVIDIA
HPC- Supercomputing
S51756
Accelerating AI in Federal Cloud Environments
Bill Chappel, Vice President of Mission Systems in Strategic Missions and Technology, Microsoft
Steven H. Walker, Chief Technology Officer, Lockheed Martin
Matthew Benigni, Chief Data Officer, Army Futures Command
Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA
Data Center/ Cloud-Business Strategy
S51703
Accelerating Disentangled Attention Mechanism in Language Models
Pengcheng He, Principal Researcher, Microsoft
Haohang Huang, Senior AI Engineer, NVIDIA
Conversational AI NLP
S51422
SwinTransformer and its Training Acceleration
Han Hu, Principal Research Manager, Microsoft Research Asia
Li Tao, Tech Software Engineer, NVIDIA
Deep Learning– Training+
S51260
Multimodal Deep Learning for Protein Engineering
Kevin Yang, Senior Researcher, Microsoft Research New England
Healthcare- Drug Discovery
S51945
Improving Dense Text Retrieval Accuracy with Approximate Nearest Neighbor Search
Menghao Li, Software Engineer, Microsoft
Akira Naruse, Senior Developer Technology Engineer, NVIDIA
Data Science
S51709
Hopper Confidential Computing: How it Works under the Hood
Antoine Delignat-Lavaud, Principal Researcher Microsoft Research, Microsoft
Phil Rogers, VP of System Software, NVIDIA
Data Center/ Cloud Infrastructure- Technical
S51447
Data-Driven Approaches to Language Diversity
Kalika Bali, Principal Researcher, Microsoft Research India
Caroline Gottlieb, Product Manager, Data Strategy, NVIDIA
Damian Blasi, Harvard Data Science Fellow, Department of Human Evolutionary Biology, Harvard University
Bonaventure Dossou, Ph.D. Student, McGill University and Mila Quebec AI Institute
EM Lewis-Jong, Common Voice – Product Lead, Mozilla Foundation
Conversational AI/NLP
S51756a
Accelerating AI in Federal Cloud Environments, with Q&A from EMEA Region
Bill Chappel, Vice President of Mission Systems in Strategic Missions and Technology, Microsoft
Steven H. Walker, Chief Technology Officer, Lockheed Martin
Larry Brown, SA Manager, NVIDIA
Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA
Data Center/ CloudBusiness Strategy
S51589
Accelerating Wind Energy Forecasts with AceCast
Amirreza Rastegari, Senior Program Manager, Azure Specialized Compute, Microsoft
Gene Pache, TempoQuest
HPC-Climate/ Weather/ Ocean Modeling
S51278
Next-Generation AI for Improving Building Security and Safety
Adina Trufinescu, Senior Program Manager, Azure Specialized Compute, Microsoft
Computer Vision -AI Video Analytics
Deep Learning Institute workshops and labs
We are proud to host NVIDIA’s Deep Learning Institute (DLI) training at NVIDIA GTC. Attend full-day, hands-on, instructor-led workshops or two-hour free training labs to get up to speed on the latest technology and breakthroughs. Hosted on Microsoft Azure, these sessions enable and empower you to leverage NVIDIA GPUs on the Azure platform to solve the world’s most interesting and relevant problems.
Register for a Deep Learning Institute workshop or lab today.
Learn more about Azure AI infrastructure
Whether your project is big or small, local or global, Microsoft Azure is empowering companies worldwide to push the boundaries of AI innovation. Learn how you can make AI your reality by exploring the following resources.
Azure AI Infrastructure
Azure AI Solutions
Accelerating AI and HPC in the Cloud
AI-first Infrastructure and Toolchain at Any Scale
The case for AI in the Azure Cloud
AI Infrastructure for Smart Manufacturing
AI Infrastructure for Smart Retail
Quelle: Azure
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