Microsoft to showcase purpose-built AI infrastructure at NVIDIA GTC


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 Technologies

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

,Read More


Generated by Feedzy