Be a part of Microsoft at NVIDIA GTC, a free on-line international expertise convention (GTC), March 20 to 23 to learn the way 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 practice 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 companies like Azure Batch and open-source options helps streamline administration and automation of huge 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 scale 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 Individuals 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 one of the best infrastructure and companies for Microsoft prospects.
Register for NVIDIA GTC at present.
Microsoft periods at NVIDIA GTC
Add the under Microsoft periods at GTC to your convention schedule to study concerning the newest Azure AI infrastructure and dive deep into a wide range of use circumstances and applied sciences.
Featured periods
Speed up AI Innovation with Unmatched Cloud Scale and Efficiency
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 and 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 main organizations in AI to construct a brand new period of progressive functions and companies. The convergence of cloud flexibility and economics, with advances in cloud efficiency, is paving the way in which to speed up AI initiatives throughout simulations, science, and business. Whether or not you want to scale to 80,000 cores for MPI workloads, otherwise you’re in search of AI supercomputing capabilities, Azure can help your wants. Study extra about Azures AI platform, our newest updates, and listen to about buyer experiences.
Azure’s Function-Constructed AI Infrastructure Utilizing the Newest NVIDIA GPU Accelerators
On-demand
Matt Vegas, Principal Product Supervisor, Microsoft
Microsoft presents among the strongest and massively scalable Digital Machines, optimized for AI workloads. Be a part of us for an in-depth take a look at the most recent updates for Azure’s ND-series based mostly on NVIDIA GPUs, engineered to ship a mixture of high-performance, interconnected GPUs, working in parallel that may show you how to scale back complexity, reduce operational bottlenecks operations, and may ship reliability at scale.
Talks and panel periods
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Session ID
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Session Title
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Audio system
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Major Subject
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Accelerating Giant Language Fashions through Low-Bit Quantization
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Younger Jin Kim, Principal Researcher, Microsoft
Rawn Henry, Senior AI Developer Know-how Engineer, NVIDIA
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Deep Studying-Inference
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Remodeling Clouds to Cloud-Native Supercomputing: Greatest Practices with Microsoft Azure
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Jithin Jose, Principal Software program Engineer, Microsoft Azure
Gilad Shainer, SVP Networking, NVIDIA
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HPC- Supercomputing
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Accelerating AI in Federal Cloud Environments
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Invoice Chappel, Vice President of Mission Techniques in Strategic Missions and Know-how, Microsoft
Steven H. Walker, Chief Know-how Officer, Lockheed Martin
Matthew Benigni, Chief Knowledge Officer, Military Futures Command
Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA
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Knowledge Middle/ Cloud-Enterprise Technique
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Accelerating Disentangled Consideration Mechanism in Language Fashions
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Pengcheng He, Principal Researcher, Microsoft
Haohang Huang, Senior AI Engineer, NVIDIA
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Conversational AI NLP
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SwinTransformer and its Coaching Acceleration
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Han Hu, Principal Analysis Supervisor, Microsoft Analysis Asia
Li Tao, Tech Software program Engineer, NVIDIA
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Deep Studying– Coaching+
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Multimodal Deep Studying for Protein Engineering
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Kevin Yang, Senior Researcher, Microsoft Analysis New England
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Healthcare- Drug Discovery
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Enhancing Dense Textual content Retrieval Accuracy with Approximate Nearest Neighbor Search
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Menghao Li, Software program Engineer, Microsoft
Akira Naruse, Senior Developer Know-how Engineer, NVIDIA
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Knowledge Science
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Hopper Confidential Computing: The way it Works below the Hood
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Antoine Delignat-Lavaud, Principal Researcher Microsoft Analysis, Microsoft
Phil Rogers, VP of System Software program, NVIDIA
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Knowledge Middle/ Cloud Infrastructure- Technical
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Knowledge-Pushed Approaches to Language Range
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Kalika Bali, Principal Researcher, Microsoft Analysis India
Caroline Gottlieb, Product Supervisor, Knowledge Technique, NVIDIA
Damian Blasi, Harvard Knowledge Science Fellow, Division of Human Evolutionary Biology, Harvard College
Bonaventure Dossou, Ph.D. Scholar, McGill College and Mila Quebec AI Institute
EM Lewis-Jong, Frequent Voice – Product Lead, Mozilla Basis
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Conversational AI/NLP
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Accelerating AI in Federal Cloud Environments, with Q&A from EMEA Area
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Invoice Chappel, Vice President of Mission Techniques 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
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Knowledge Middle/ CloudBusiness Technique
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Accelerating Wind Power Forecasts with AceCast
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Amirreza Rastegari, Senior Program Supervisor, Azure Specialised Compute, Microsoft
Gene Pache, TempoQuest
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HPC-Local weather/ Climate/ Ocean Modeling
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Subsequent-Technology AI for Enhancing Constructing Safety and Security
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Adina Trufinescu, Senior Program Supervisor, Azure Specialised Compute, Microsoft
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Laptop Imaginative and prescient -AI Video Analytics
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Deep Studying Institute workshops and labs
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 rise up to hurry on the most recent expertise and breakthroughs. Hosted on Microsoft Azure, these periods allow and empower you to leverage NVIDIA GPUs on the Azure platform to resolve the world’s most fascinating and related issues.
Register for a Deep Studying Institute workshop or lab at present.
Study extra about Azure AI infrastructure
Whether or not your undertaking is large or small, native or international, Microsoft Azure is empowering firms worldwide to push the boundaries of AI innovation. Study how one can make AI your actuality by exploring the next sources.
