Microsoft to display purpose-built AI facilities at NVIDIA GTC|Azure Blog Site and Updates

Sign Up With Microsoft at NVIDIA GTC, a totally free online worldwide innovation conference (GTC), March 20 to 23 to discover how companies of any size can power AI development with purpose-built cloud facilities from Microsoft.

Microsoft’s Azure AI supercomputing facilities is distinctively developed for AI work and assists construct and train a few of the market’s most sophisticated AI options. From information preparation to design and facilities efficiency management, Azure’s thorough portfolio of effective and enormously scalable GPU-accelerated virtual makers (VMs) and smooth combination with services like Azure Batch and open-source options assists simplify management and automation of big AI designs and facilities.

Participate In NVIDIA GTC to find how Azure AI facilities enhanced for AI efficiency can provide speed and scale in the cloud and assist you lower the intricacy of structure, training, and bringing AI designs into production.

Do not miss out on session S52469 including Nidhi Chappell, a recipient of the 2023 Individuals to See, acknowledged as a high-performance computing (HPC) star by HPCwire Nidhi plays a leading function in driving HPC and AI development, speeding up the advancement of science and adoption of AI by allowing access to the very best facilities and services for Microsoft clients.

Microsoft sessions at NVIDIA GTC

Include the listed below Microsoft sessions at GTC to your conference schedule to discover the current Azure AI facilities and dive deep into a range of usage cases and innovations.

Included sessions

Speed Up AI Development with Unmatched Cloud Scale and Efficiency

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

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

Kathleen Mitford, Corporate Vice President, Azure Marketing, Microsoft

Manuvir Das, Vice President of Business Computing, NVIDIA

Alex Kendall, CEO and Co-Founder, Wayve

Azure’s purpose-built AI facilities is allowing leading companies in AI to construct a brand-new period of ingenious applications and services. The merging of cloud versatility and economics, with advances in cloud efficiency, is leading the way to speed up AI efforts throughout simulations, science, and market. Whether you require to scale to 80,000 cores for MPI work, or you’re trying to find AI supercomputing abilities, Azure can support your requirements. Find out more about Azures AI platform, our newest updates, and become aware of client experiences.

Azure’s Purpose-Built AI Facilities Utilizing the most recent NVIDIA GPU Accelerators

On-demand

Matt Vegas, Principal Item Supervisor, Microsoft

Microsoft provides a few of the most effective and enormously scalable Virtual Devices, enhanced for AI work. Join us for a thorough take a look at the current updates for Azure’s ND-series based upon NVIDIA GPUs, crafted to provide a mix of high-performance, interconnected GPUs, operating in parallel that can assist you lower intricacy, lessen functional traffic jams operations, and can provide dependability at scale.

Talks and panel sessions

. . .

.(* ) .

S51204

Changing Clouds to Cloud-Native Supercomputing: Finest Practices with Microsoft Azure

Jithin Jose, Principal Software Application Engineer ,
Microsoft
Azure

HPC- Supercomputing

S51756(* ) .

.
.

SwinTransformer and its Training Velocity

Li Tao, Tech Software Application Engineer, NVIDIA

Kevin Yang,
Elder Scientist, Microsoft Research Study New England

Health Care- Drug Discovery

Menghao Li, Software Application Engineer, Microsoft(* ) . .

Hopper Confidential Computing: How it Functions under the Hood(* ) .

. .

Phil Rogers, VP of System Software Application, NVIDIA

.(* )S51447

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.

Damian Blasi, Harvard Data Science Fellow, Department of Human Evolutionary Biology, Harvard University

. .

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

S51589

Deep Knowing Institute workshops and laboratories

We are happy to host NVIDIA’s Deep Knowing Institute (DLI) training at NVIDIA GTC. Participate in full-day, hands-on, instructor-led workshops or two-hour complimentary training laboratories to get up to speed on the current innovation and advancements. Hosted on Microsoft Azure, these sessions make it possible for and empower you to take advantage of NVIDIA GPUs on the Azure platform to resolve the world’s most intriguing and appropriate issues.

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Session ID

Session Title

Speakers

Main Subject

S51226

.(* ) .

Speeding Up Big Language Designs by means of Low-Bit Quantization

Young Jin Kim, Principal Scientist, Microsoft

.
.

Rawn Henry, Elder AI Designer Innovation Engineer, NVIDIA

Deep Learning-Inference

. .

Gilad Shainer,
SVP Networking, NVIDIA

Speeding Up AI in Federal Cloud Environments

Costs Chappel, Vice President of Objective Systems in
Strategic Missions and Innovation, Microsoft

Steven H. Walker, Chief Innovation Officer, Lockheed Martin

. .

Matthew Benigni, Chief Data Officer, Army Futures Command

.
.

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

Data Center/ Cloud-Business Technique

.(* ) .(* )S51703

Speeding Up Disentangled Attention System in Language Designs

Pengcheng He, Principal Scientist, Microsoft

.
.

Haohang Huang,
Elder AI Engineer, NVIDIA

.(* )Conversational AI NLP(* ) .

S51422(* ) .

Han Hu, Principal Research Study Supervisor, Microsoft Research Study Asia

. .

.(* ) .(* ) .

Deep Knowing– Training +

S51260

Multimodal Deep Knowing for Protein Engineering

S51945

Improving Thick Text Retrieval Precision with Approximate Nearest Next-door Neighbor Browse

Akira Naruse,
Elder Designer Innovation Engineer, NVIDIA

Data Science

. (* )S51709

Antoine Delignat-Lavaud,
Principal
Scientist Microsoft Research Study,
Microsoft

Data Center/ Cloud Facilities- Technical

.(* )Data-Driven Techniques to Language Variety

Kalika Bali, Principal Scientist, Microsoft Research Study India

. .

Caroline Gottlieb, Item Supervisor, Data Technique, NVIDIA

Bonaventure Dossou,
Ph.D.
Trainee, McGill University and Mila Quebec AI Institute(* ) . .

EM Lewis-Jong, Common Voice -Item Lead, Mozilla Structure

Conversational AI/NLP

S51756a

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

.(* )Costs Chappel, Vice President of Objective Systems in Strategic Missions and Innovation, Microsoft

Steven H. Walker, Chief Innovation Officer, Lockheed Martin

.
.(* )Larry Brown, SA Supervisor, NVIDIA

.
.

Data Center/ CloudBusiness Technique

Speeding Up Wind Energy Projections with AceCast

.(* ) .

Amirreza Rastegari, Elder Program Supervisor, Azure Specialized Compute, Microsoft

.
.

Gene Pache, TempoQuest

.(* )HPC-Climate/ Weather Condition/ Ocean Modeling

S51278

.(* )Next-Generation AI for Improving Structure Security and Security

Adina Trufinescu, Elder Program Supervisor, Azure Specialized Compute, Microsoft

Computer System Vision -AI Video Analytics

for a Deep Knowing Institute workshop or laboratory today.

Discover More about Azure AI facilities

Whether your job is huge or little, regional or worldwide, Microsoft Azure is empowering business worldwide to press the limits of AI development. Discover how you can make AI your truth by checking out the following resources.