Microsoft to showcase purpose-built AI infrastructure at NVIDIA GTC

14th March 2023 Anthony Mashford 0 Comments

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.

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.

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.

Source: Azure Blog Feed

Mashford's Musings