April 13, 2024

Join Microsoft at NVIDIA GTC, a free on-line international expertise convention (GTC), March 20 to 23 to find out how organizations of any dimension can energy AI innovation with purpose-built cloud infrastructure from Microsoft.

Microsoft’s Azure AI supercomputing infrastructure is uniquely designed for AI workloads and helps construct and prepare among the business’s most superior AI options. From information preparation to mannequin and infrastructure efficiency administration, Azure’s complete portfolio of highly effective and massively scalable GPU-accelerated digital machines (VMs) and seamless integration with providers like Azure Batch and open-source options helps streamline administration and automation of enormous AI fashions and infrastructure.

Attend NVIDIA GTC to find how Azure AI infrastructure optimized for AI efficiency can ship velocity and scale within the cloud and show you how to cut back the complexity of constructing, coaching, and bringing AI fashions into manufacturing.

Don’t miss session S52469 that includes Nidhi Chappell, a recipient of the 2023 People to Watch, acknowledged as a high-performance computing (HPC) luminary by HPCwire. Nidhi performs a number one function in driving HPC and AI innovation, accelerating the event of science and adoption of AI by enabling entry to the perfect infrastructure and providers for Microsoft prospects.

Register for NVIDIA GTC in the present day. 

Microsoft periods at NVIDIA GTC

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Add the below Microsoft sessions at GTC to your convention schedule to be taught concerning the newest Azure AI infrastructure and dive deep into a wide range of use instances and applied sciences. 

Featured periods

Accelerate AI Innovation with Unmatched Cloud Scale and Performance

Thursday, March 23, 2023 | 7:00 to 7:50 AM PT

Nidhi Chappell, Normal Supervisor, Azure HPC, AI, SAP and Confidential Computing, Microsoft

Kathleen Mitford, Company Vice President, Azure Advertising, Microsoft

Manuvir Das, Vice President of Enterprise Computing, NVIDIA

Alex Kendall, CEO and Co-Founder, Wayve

Azure’s purpose-built AI infrastructure is enabling main organizations in AI to construct a brand new period of modern functions and providers. The convergence of cloud flexibility and economics, with advances in cloud efficiency, is paving the best way to speed up AI initiatives throughout simulations, science, and business. Whether or not it’s essential scale to 80,000 cores for MPI workloads, otherwise you’re on the lookout for AI supercomputing capabilities, Azure can help your wants. Be taught extra about Azures AI platform, our newest updates, and listen to about buyer experiences.

Azure’s Purpose-Built AI Infrastructure Using the Latest NVIDIA GPU Accelerators


Matt Vegas, Principal Product Supervisor, Microsoft

Microsoft provides among the strongest and massively scalable Digital Machines, optimized for AI workloads. Be part of us for an in-depth take a look at the newest updates for Azure’s ND-series primarily based on NVIDIA GPUs, engineered to ship a mixture of high-performance, interconnected GPUs, working in parallel that may show you how to cut back complexity, reduce operational bottlenecks operations, and might ship reliability at scale. 

Talks and panel periods

Session ID

Session Title

Audio system

Major Subject


Accelerating Giant Language Fashions through Low-Bit Quantization

Younger Jin Kim, Principal Researcher, Microsoft

Rawn Henry, Senior AI Developer Know-how Engineer, NVIDIA

Deep Studying-Inference


Remodeling Clouds to Cloud-Native Supercomputing: Greatest Practices with Microsoft Azure

Jithin Jose, Principal Software program Engineer, Microsoft Azure

Gilad Shainer, SVP Networking, NVIDIA

HPC- Supercomputing


Accelerating AI in Federal Cloud Environments

Invoice Chappel, Vice President of Mission Methods in Strategic Missions and Know-how, Microsoft

Steven H. Walker, Chief Know-how Officer, Lockheed Martin

Matthew Benigni, Chief Information Officer, Military Futures Command

Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA

Information Middle/ Cloud-Enterprise Technique


Accelerating Disentangled Consideration Mechanism in Language Fashions

Pengcheng He, Principal Researcher, Microsoft

Haohang Huang, Senior AI Engineer, NVIDIA

Conversational AI NLP


SwinTransformer and its Coaching Acceleration

Han Hu, Principal Analysis Supervisor, Microsoft Analysis Asia

Li Tao, Tech Software program Engineer, NVIDIA

Deep Studying– Coaching+


Multimodal Deep Studying for Protein Engineering

Kevin Yang, Senior Researcher, Microsoft Analysis New England

Healthcare- Drug Discovery


Enhancing Dense Textual content Retrieval Accuracy with Approximate Nearest Neighbor Search

Menghao Li, Software program Engineer, Microsoft

Akira Naruse, Senior Developer Know-how Engineer, NVIDIA

Information Science


Hopper Confidential Computing: The way it Works below the Hood

Antoine Delignat-Lavaud, Principal Researcher Microsoft Analysis, Microsoft

Phil Rogers, VP of System Software program, NVIDIA

Information Middle/ Cloud Infrastructure- Technical


Information-Pushed Approaches to Language Variety

Kalika Bali, Principal Researcher, Microsoft Analysis India

Caroline Gottlieb, Product Supervisor, Information Technique, NVIDIA

Damian Blasi, Harvard Information Science Fellow, Division of Human Evolutionary Biology, Harvard College

Bonaventure Dossou, Ph.D. Pupil, McGill College and Mila Quebec AI Institute

EM Lewis-Jong, Widespread Voice – Product Lead, Mozilla Basis

Conversational AI/NLP


Accelerating AI in Federal Cloud Environments, with Q&A from EMEA Area

Invoice Chappel, Vice President of Mission Methods in Strategic Missions and Know-how, Microsoft

Steven H. Walker, Chief Know-how Officer, Lockheed Martin

Larry Brown, SA Supervisor, NVIDIA

Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA

Information Middle/ CloudBusiness Technique


Accelerating Wind Vitality Forecasts with AceCast

Amirreza Rastegari, Senior Program Supervisor, Azure Specialised Compute, Microsoft

Gene Pache, TempoQuest

HPC-Local weather/ Climate/ Ocean Modeling


Subsequent-Technology AI for Enhancing Constructing Safety and Security

Adina Trufinescu, Senior Program Supervisor, Azure Specialised Compute, Microsoft

Pc Imaginative and prescient -AI Video Analytics

Deep Studying Institute workshops and labs

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We’re proud to host NVIDIA’s Deep Studying Institute (DLI) coaching at NVIDIA GTC. Attend full-day, hands-on, instructor-led workshops or two-hour free coaching labs to stand up to hurry on the newest expertise and breakthroughs. Hosted on Microsoft Azure, these periods allow and empower you to leverage NVIDIA GPUs on the Azure platform to unravel the world’s most fascinating and related issues. 

Register for a Deep Studying Institute workshop or lab in the present day.

Be taught extra about Azure AI infrastructure

Whether or not your undertaking is massive or small, native or international, Microsoft Azure is empowering firms worldwide to push the boundaries of AI innovation. Be taught how one can make AI your actuality by exploring the next sources.