Join 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 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 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 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 very best infrastructure and providers for Microsoft clients.
Register for NVIDIA GTC in the present day.
Microsoft classes at NVIDIA GTC
Add the beneath Microsoft classes at GTC to your convention schedule to study concerning the newest Azure AI infrastructure and dive deep into quite a lot of use circumstances and applied sciences.
Featured classes
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 main organizations in AI to construct a brand new period of revolutionary purposes 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 that you must scale to 80,000 cores for MPI workloads, otherwise you’re searching for AI supercomputing capabilities, Azure can assist your wants. Learn 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
On-demand
Matt Vegas, Principal Product Manager, Microsoft
Microsoft presents among the strongest and massively scalable Virtual Machines, optimized for AI workloads. Join us for an in-depth have a look at the most recent updates for Azure’s ND-series based mostly on NVIDIA GPUs, engineered to ship a mix of high-performance, interconnected GPUs, working in parallel that may enable you scale back complexity, decrease operational bottlenecks operations, and might ship reliability at scale.
Talks and panel classes
|
Session ID |
Session Title |
Speakers |
Primary Topic |
|
Accelerating Large Language Models through Low-Bit Quantization |
Young Jin Kim, Principal Researcher, Microsoft Rawn Henry, Senior AI Developer Technology Engineer, NVIDIA |
Deep Learning-Inference |
|
|
Transforming Clouds to Cloud-Native Supercomputing: Best Practices with Microsoft Azure |
Jithin Jose, Principal Software Engineer, Microsoft Azure Gilad Shainer, SVP Networking, NVIDIA |
HPC- Supercomputing |
|
|
Accelerating AI in Federal Cloud Environments |
Bill Chappel, Vice President of Mission Systems in Strategic Missions and Technology, Microsoft Steven H. Walker, Chief Technology Officer, Lockheed Martin Matthew Benigni, Chief Data Officer, Army Futures Command Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA |
Data Center/ Cloud-Business Strategy |
|
|
Accelerating Disentangled Attention Mechanism in Language Models |
Pengcheng He, Principal Researcher, Microsoft Haohang Huang, Senior AI Engineer, NVIDIA |
Conversational AI NLP |
|
|
SwinTransformer and its Training Acceleration |
Han Hu, Principal Research Manager, Microsoft Research Asia Li Tao, Tech Software Engineer, NVIDIA |
Deep Learning– Training+ |
|
|
Multimodal Deep Learning for Protein Engineering |
Kevin Yang, Senior Researcher, Microsoft Research New England |
Healthcare- Drug Discovery |
|
|
Improving Dense Text Retrieval Accuracy with Approximate Nearest Neighbor Search |
Menghao Li, Software Engineer, Microsoft Akira Naruse, Senior Developer Technology Engineer, NVIDIA |
Data Science |
|
|
Hopper Confidential Computing: How it Works below the Hood |
Antoine Delignat-Lavaud, Principal Researcher Microsoft Research, Microsoft Phil Rogers, VP of System Software, NVIDIA |
Data Center/ Cloud Infrastructure- Technical |
|
|
Data-Driven Approaches to Language Diversity |
Kalika Bali, Principal Researcher, Microsoft Research India Caroline Gottlieb, Product Manager, Data Strategy, NVIDIA Damian Blasi, Harvard Data Science Fellow, Department of Human Evolutionary Biology, Harvard University Bonaventure Dossou, Ph.D. Student, McGill University and Mila Quebec AI Institute EM Lewis-Jong, Common Voice – Product Lead, Mozilla Foundation |
Conversational AI/NLP |
|
|
Accelerating AI in Federal Cloud Environments, with Q&A from EMEA Region |
Bill Chappel, Vice President of Mission Systems in Strategic Missions and Technology, Microsoft Steven H. Walker, Chief Technology Officer, Lockheed Martin Larry Brown, SA Manager, NVIDIA Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA |
Data Center/ CloudBusiness Strategy |
|
|
Accelerating Wind Energy Forecasts with AceCast |
Amirreza Rastegari, Senior Program Manager, Azure Specialized Compute, Microsoft Gene Pache, TempoQuest |
HPC-Climate/ Weather/ Ocean Modeling |
|
|
Next-Generation AI for Improving Building Security and Safety |
Adina Trufinescu, Senior Program Manager, Azure Specialized Compute, Microsoft |
Computer Vision -AI Video Analytics |
Deep Learning Institute workshops and labs
We are proud to host NVIDIA’s Deep Learning 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 unravel the world’s most fascinating and related issues.
Register for a Deep Learning Institute workshop or lab in the present day.
Learn extra about Azure AI infrastructure
Whether your challenge is huge or small, native or world, Microsoft Azure is empowering firms worldwide to push the boundaries of AI innovation. Learn how one can make AI your actuality by exploring the next assets.