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Microsoft to showcase purpose-built AI infrastructure at NVIDIA GTC | Azure Weblog and Updates


Be part of Microsoft at NVIDIA GTC, a free on-line world know-how 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 prepare a number of the business’s most superior AI options. From knowledge 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 enable you 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 position 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 providers for Microsoft clients.

Register for NVIDIA GTC right now. 

Microsoft classes at NVIDIA GTC

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Add the beneath Microsoft classes at GTC to your convention schedule to study in regards to the newest Azure AI infrastructure and dive deep into a wide range of use circumstances and applied sciences. 

Featured classes

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 revolutionary 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 that you must scale to 80,000 cores for MPI workloads, otherwise you’re searching for AI supercomputing capabilities, Azure can assist 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 affords a number of the strongest and massively scalable Digital Machines, optimized for AI workloads. Be part of us for an in-depth take a look at the most recent updates for Azure’s ND-series primarily based on NVIDIA GPUs, engineered to ship a mix of high-performance, interconnected GPUs, working in parallel that may enable you scale back complexity, reduce operational bottlenecks operations, and may ship reliability at scale. 

Talks and panel classes
















Session ID

Session Title

Audio system

Main Matter

S51226

Accelerating Massive Language Fashions through Low-Bit Quantization

Younger Jin Kim, Principal Researcher, Microsoft


Rawn Henry, Senior AI Developer Expertise Engineer, NVIDIA

Deep Studying-Inference

S51204

Reworking 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

S51756

Accelerating AI in Federal Cloud Environments

Invoice Chappel, Vice President of Mission Methods in Strategic Missions and Expertise, Microsoft


Steven H. Walker, Chief Expertise Officer, Lockheed Martin


Matthew Benigni, Chief Knowledge Officer, Military Futures Command


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

Knowledge Heart/ Cloud-Enterprise Technique

S51703

Accelerating Disentangled Consideration Mechanism in Language Fashions

Pengcheng He, Principal Researcher, Microsoft


Haohang Huang, Senior AI Engineer, NVIDIA

Conversational AI NLP

S51422

SwinTransformer and its Coaching Acceleration

Han Hu, Principal Analysis Supervisor, Microsoft Analysis Asia


Li Tao, Tech Software program Engineer, NVIDIA

Deep Studying– Coaching+

S51260

Multimodal Deep Studying for Protein Engineering

Kevin Yang, Senior Researcher, Microsoft Analysis New England

Healthcare- Drug Discovery

S51945

Enhancing Dense Textual content Retrieval Accuracy with Approximate Nearest Neighbor Search

Menghao Li, Software program Engineer, Microsoft


Akira Naruse, Senior Developer Expertise Engineer, NVIDIA

Knowledge Science

S51709

Hopper Confidential Computing: The way it Works beneath the Hood

Antoine Delignat-Lavaud, Principal Researcher Microsoft Analysis, Microsoft


Phil Rogers, VP of System Software program, NVIDIA

Knowledge Heart/ Cloud Infrastructure- Technical

S51447

Knowledge-Pushed Approaches to Language Range

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

Conversational AI/NLP

S51756a

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

Invoice Chappel, Vice President of Mission Methods in Strategic Missions and Expertise, Microsoft


Steven H. Walker, Chief Expertise Officer, Lockheed Martin


Larry Brown, SA Supervisor, NVIDIA


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

Knowledge Heart/ CloudBusiness Technique

S51589

Accelerating Wind Power Forecasts with AceCast

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


Gene Pache, TempoQuest

HPC-Local weather/ Climate/ Ocean Modeling

S51278

Subsequent-Era AI for Enhancing Constructing Safety and Security

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

Laptop Imaginative and prescient -AI Video Analytics

Deep Studying Institute workshops and labs

Photograph of man with headphones on in front of laptop with screen open.

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 know-how and breakthroughs. Hosted on Microsoft Azure, these classes 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 right now.

Study extra about Azure AI infrastructure

Whether or not your mission is huge or small, native or world, 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. 

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