Microsoft To Showcase Purpose-Built AI Infrastructure At NVIDIA GTC

microsoft-to-showcase-purposebuilt-ai-infrastructure-at-nvidia-gtc-01_975-297

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.

Register for NVIDIA GTC today.

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.

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

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.

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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 IDSession TitleSpeakersPrimary Topic
S51226Accelerating Large Language Models via Low-Bit QuantizationYoung Jin Kim, Principal Researcher, MicrosoftRawn Henry, Senior AI Developer Technology Engineer, NVIDIADeep Learning-Inference
S51204Transforming Clouds to Cloud-Native Supercomputing: Best Practices with Microsoft AzureJithin Jose, Principal Software Engineer, Microsoft AzureGilad Shainer, SVP Networking, NVIDIAHPC- Supercomputing
S51756Accelerating AI in Federal Cloud EnvironmentsBill Chappel, Vice President of Mission Systems in Strategic Missions and Technology, MicrosoftSteven H. Walker, Chief Technology Officer, Lockheed MartinMatthew Benigni, Chief Data Officer, Army Futures CommandChristi DeCuir, Director, Cloud Go-to-Market, NVIDIAData Center/ Cloud-Business Strategy
S51703Accelerating Disentangled Attention Mechanism in Language ModelsPengcheng He, Principal Researcher, MicrosoftHaohang Huang, Senior AI Engineer, NVIDIAConversational AI NLP
S51422SwinTransformer and its Training AccelerationHan Hu, Principal Research Manager, Microsoft Research AsiaLi Tao, Tech Software Engineer, NVIDIADeep Learning– Training+
S51260Multimodal Deep Learning for Protein EngineeringKevin Yang, Senior Researcher, Microsoft Research New EnglandHealthcare- Drug Discovery
S51945Improving Dense Text Retrieval Accuracy with Approximate Nearest Neighbor SearchMenghao Li, Software Engineer, MicrosoftAkira Naruse, Senior Developer Technology Engineer, NVIDIAData Science
S51709Hopper Confidential Computing: How it Works under the HoodAntoine Delignat-Lavaud, Principal Researcher Microsoft Research, MicrosoftPhil Rogers, VP of System Software, NVIDIAData Center/ Cloud Infrastructure- Technical
S51447Data-Driven Approaches to Language DiversityKalika Bali, Principal Researcher, Microsoft Research IndiaCaroline Gottlieb, Product Manager, Data Strategy, NVIDIADamian Blasi, Harvard Data Science Fellow, Department of Human Evolutionary Biology, Harvard UniversityBonaventure Dossou, Ph.D. Student, McGill University and Mila Quebec AI InstituteEM Lewis-Jong, Common Voice – Product Lead, Mozilla FoundationConversational AI/NLP
S51756aAccelerating AI in Federal Cloud Environments, with Q&A from EMEA RegionBill Chappel, Vice President of Mission Systems in Strategic Missions and Technology, MicrosoftSteven H. Walker, Chief Technology Officer, Lockheed MartinLarry Brown, SA Manager, NVIDIAChristi DeCuir, Director, Cloud Go-to-Market, NVIDIAData Center/ CloudBusiness Strategy
S51589Accelerating Wind Energy Forecasts with AceCastAmirreza Rastegari, Senior Program Manager, Azure Specialized Compute, MicrosoftGene Pache, TempoQuestHPC-Climate/ Weather/ Ocean Modeling
S51278Next-Generation AI for Improving Building Security and SafetyAdina Trufinescu, Senior Program Manager, Azure Specialized Compute, MicrosoftComputer Vision-AI Video Analytics
S51387How to Build Clouds to Power the Next Wave of ApplicationsLihua Yuan, VP of Engineering, Microsoft Azure NetworkingItay Ozery, Director, Product Marketing, NVIDIAKevin Deierling, Senior Vice President of Networking, NVIDIAData Center- Networking

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.

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Register for a Deep Learning Institute workshop or lab today.

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.

By: Locky Ainley (Product Marketing Manager, Azure VMware Solution)
Originally published at Microsoft Azure

Source: Cyberpogo


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