Join Microsoft at NVIDIA GTCa free online global technology conference (GTC), March 20 to 23 to learn how organizations of any size can enable AI innovation using purpose-built cloud infrastructure from Microsoft.
by Microsoft Azure AI The supercomputing infrastructure is uniquely designed for AI workloads and helps develop and train some of the most advanced AI solutions in the industry. 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 such as Azure Batch and open-source solutions help streamline the management and automation of large AI models and infrastructure.
Attend NVIDIA GTC to discover how Azure AI optimized infrastructure for AI performance can deliver speed and scale to the cloud and help you reduce the complexity of building, training, and bringing AI models to production .
Don’t miss the session S52469 featuring Nidhi Chappell, a recipient of 2023 People to Watchrecognized as a high-performance computing (HPC) luminary by HPCwire. Nidhi plays a leading role in driving HPC and AI innovation, accelerating the advancement of the 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 Microsoft sessions below to GTC on your conference schedule to learn about the latest Azure AI infrastructure and dive deep into different 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 enables leading AI organizations to build a new era of innovative applications and services. The convergence of cloud flexibility and economics, with advances in cloud performance, paves the way to accelerate AI initiatives in simulations, science, and industry. If 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 the 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 highly 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, built to deliver a combination of high-performance, interconnected GPUs, working in parallel that can help your reduce complexity, reduce operational bottleneck operations, and deliver reliability at scale.
Talks and panel sessions
|
Session ID
|
Session Title
|
Speakers
|
Main Subject
|
|
|
Speeding Up Large Language Models by Low-Bit Quantization
|
Young Jin Kim, Principal Researcher, Microsoft
Rawn Henry, Senior AI Developer Technology Engineer, NVIDIA
|
Deep Learning-Inference
|
|
|
Transforming Clouds into Cloud-Native Supercomputing: Microsoft Azure Best Practices
|
Jithin Jose, Principal Software Engineer, Microsoft Azure
Gilad Shainer, SVP Networking, NVIDIA
|
HPC- Supercomputing
|
|
|
Accelerating AI in the Federal Cloud Environment
|
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
|
|
|
Facilitating Divided Attentional Mechanisms in Language Models
|
Pengcheng He, Principal Researcher, Microsoft
Haohang Huang, Senior AI Engineer, NVIDIA
|
NLP in conversation
|
|
|
SwinTransformer and its Training Acceleration
|
Han Hu, Principal Research Manager, Microsoft Research Asia
Li Tao, Tech Software Engineer, NVIDIA
|
Deep Learning– Training+
|
|
|
Multimodal Deep Learning for Protein Engineering
|
Kevin Yang, Senior Researcher, Microsoft Research New England
|
Health Care – Drug Discovery
|
|
|
Improving Accuracy in Dense Text Extraction using Approximate Nearest Neighbor Search
|
Menghao Li, Software Engineer, Microsoft
Akira Naruse, Senior Developer Technology Engineer, NVIDIA
|
Data Science
|
|
|
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
|
|
|
Data-Based Approaches to Language Variation
|
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
|
|
|
Accelerating AI in the Federal Cloud Environment, with Q&A from the 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/ Cloud Business Strategy
|
|
|
Accelerating Wind Energy Forecasts with AceCast
|
Amirreza Rastegari, Senior Program Manager, Azure Specialized Compute, Microsoft
Gene Pache, TempoQuest
|
HPC-Climate/ Weather/ Ocean Modelling
|
|
|
Next-Generation AI for Improving Building Security and Safety
|
Adina Trufinescu, Senior Program Manager, Azure Specialized Compute, Microsoft
|
Computer Vision-AI Video Analytics
|
|
|
How to Build Clouds to Power the Next Flow of Applications
|
Lihua Yuan, VP of Engineering, Microsoft Azure Networking
Father Ozery, Director, Product Marketing, NVIDIA
Kevin Deierling, Senior Vice President of Networking, NVIDIA
|
Data Center- Networking
|
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 use 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 the Azure AI infrastructure
Whether your project is large or small, local or global, Microsoft Azure empowers companies around the world to push the boundaries of AI innovation. Learn how you can make AI a reality by exploring the following resources.