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Azure High Performance Computing (HPC) Blog
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Daily schedule: Microsoft in-booth sessions at NVIDIA GTC

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SarahYousuf
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Mar 06, 2025

We look forward to seeing you at the NVIDIA GTC AI Conference March 17 - 21 in San Jose, CA or virtually. Visit Microsoft booth #514 for daily informative sessions from Azure, partner and customer AI experts and discover the latest in AI services and technology that can help power your AI innovation. 

This blog post provides our daily in-booth sessions schedule. For Microsoft sessions in the GTC main conference program and our full presence at GTC, see Innovation starts here! Join Microsoft at NVIDIA GTC AI Conference.

Live sessions in Microsoft booth #514

Mark your calendar and visit booth #514 to attend the below sessions. We'll be adding more sessions before March 17th, be sure to check back for the latest schedule. 

Tuesday, March 18

1:40 pm - 2:00 pm PDT | March 18

Behind the scenes of building Azure AI infrastructure. Azure is leading innovation in systems design for next-generation AI hardware platforms, including NVIDIA's Blackwell. This presentation highlights the hardware systems at the foundation of Azure's advanced AI infrastructure. We'll discuss deployment of NVIDIA GPUs, Quantum-2 InfiniBand for high-speed interconnects, and advanced cooling solutions to ensure a sustainable and scalable foundation for systems development.
Presenters: Akshat Nanda, Principal AI Hardware Product Manager, Microsoft

2:00 pm - 2:20 pm PDT | March 18

Navigating the Expanding Landscape of Large Language Models: Strategies for Optimal Model Selection in Azure AI Foundry. This session explores the evolving LLM landscape, offering insights on evaluating and selecting models for various applications. Attendees will learn key selection criteria, including performance metrics, Azure AI Foundry tools, and use case alignment. The goal is to equip participants with the knowledge to navigate the LLM ecosystem effectively and make informed AI decisions. 
Presenters: Sharmila Chockalingam, Sr. Product Marketing Manager, Microsoft

2:30 pm - 2:50 pm PDT | March 18

Accelerate AI Inferencing using NIMs with Serverless GPUsDiscover the newest updates in NIMs and how serverless GPUs enable developers to streamline the deployment and management of AI solutions. Learn about the benefits of using serverless compute for custom model inferencing, and how to leverage Azure's serverless containers platform, Azure Container Apps, for building AI apps and agents. 
Presenters: Cary Chai, Product Manager, Microsoft Azure Container Apps; Harry Li, Software Engineer, Microsoft Azure Container Apps

3:00 pm - 3:20 pm PDT | March 18

Software-Defined Factory: The New Frontier for Supply Chain and Manufacturing with NVIDIA Omniverse on Azure. As industries accelerate toward a software-defined future, AI-powered simulation is redefining product design and factory automation. With NVIDIA Omniverse on Azure, businesses can seamlessly integrate real-time collaboration, digital twins, and generative AI to drive efficiency, innovation, and scalability. Learn how enterprises are using advanced simulation to streamline manufacturing, enhance product lifecycles, and create next-generation consumer interactions.
Presenters: Prasad Satyavol, Lead, Manufacturing Americas, Accenture

3:30 pm - 3:50 pm PDT | March 18

Catalysts: How Pangaea Data uses Azure AI Foundry to transform rare disease detection. Learn how Pangaea Data leverages AI to identify patients with rare diseases and aids in identifying candidates for clinical trials. Discover how Pangaea uses Azure Virtual Machines and Azure AI Services accelerated by NVIDIA GPUs to enhance the accuracy and speed of rare disease detection through advanced data analysis and privacy-compliant methodologies.
Presenters: Abby Hamilton, Product Marketing Manager, AI for Science, Microsoft; Dr. Vibhor Gupta Founder, Pangaea Data  

4:00 pm - 4:20 pm PDT | March 18

Agentic AI Orchestration Platform Powered by NVIDIA NIM and Microsoft Azure AI. This session highlights how to streamline autonomous AI pipelines using Azure’s compute, storage, and AI Studio’s MaaS, combined with NVIDIA’s GPU-accelerated inference. Discover how these technologies enable intelligent, efficient, and scalable AI solutions—designed for fast deployment, seamless integration, and enterprise-grade performance across cloud-native environments.
Presenters: Shlomi Avigdor, Chief Product Officer, Dataloop  

4:30 pm - 4:50 pm PDT | March 18

Small language model Inferencing for RAG applications --> Deploy DeepSeek R1 on Microsoft Azure PCIe H100 Infrastructure. Learn how to deploy models like DeepSeek R1 from the model catalog in Azure AI Foundry for cost optimized inferencing for your small language model and RAG applications. .
Presenters: Rishab Verma, Senior Product Manager, HPC and AI Infrastructure, Microsoft 

5:00 pm - 5:20 pm PDT | March 18

Introduction to Azure confidential GPUs and Azure AI confidential inferencing
Discover Azure's industry-first confidential GPUs in the public cloud: the Azure NCC H100 v5 confidential VMs with NVIDIA H100 Tensor Core GPUs, generally available since September 2024. Explore the preview of Confidential inference for the Azure OpenAI Service Whisper model for speech to text transcription and learn how these innovations are setting new standards in secure and confidential AI.
Presenters: Krishnaprasad Hande, Senior Technical Program Manager, Microsoft Azure Confidential Computing

5:30 pm - 5:50 pm PDT | March 18

Ansys, Microsoft & NVIDIA: Accelerating Innovation in Mobility
Learn how Ansys’ industry-leading simulation tools, enhanced by NVIDIA and Microsoft Azure, are empowering automakers to streamline engineering workflows, optimize designs, and accelerate the development of next-generation vehicles. In this session we'll explore: AI-enhanced predictive modeling, seamless integration with NVIDIA Omniverse, cloud-based scalability with Microsoft Azure, and automation of complex analyses
Presenters: Tony Karam Global Sales Director, Ansys

6:00 pm - 6:20 pm PDT | March 18

Pushing the boundaries of product design through AI with Azure and Neural Concept. During this session, you will learn how large engineering companies are leveraging AI and Microsoft Azure infrastructure to drastically speed up R&D cycles, and improve product performance, leading to massive competitiveness gains. .
Presenters: Thomas von Tschammer, Co-founder and Managing Director US, Neural Concepts

Wednesday, March 19

12:00 pm - 12:20 pm PDT | March 19

Basecamp Research pushes scientific boundaries using Azure AI Foundry at the ends of the earth. Discover how Basecamp Research uses AI to create the world's largest biological database and learn how Basecamp leverages Azure Virtual Machines and Azure AI Services accelerated by NVIDIA GPUs to analyze and interpret complex biological data. This leads to the discovery of novel enzymes and proteins with potential applications in drug discovery and synthetic biology, driving groundbreaking scientific discoveries from remote locations and harnessing cutting-edge AI technologies to push the boundaries of bioscience.
Presenters: Abby Hamilton, Product Marketing Manager, AI for Science, Microsoft; Gus Minto-Cowcher, Platform Engineering Lead, Basecamp Research

12:30 pm - 12:50 pm PDT | March 19

Measuring What Matters: Azure, GitHub Copilot, AI, and Engineering Transformation
Join Faros AI at our theater session, where we’ll share how enterprises can maximize the impact of AI-powered development. We’ll cover real-world strategies to measure AI adoption, demonstrate its impact on engineering efficiency, and prevent bottlenecks in developer workflows. See our platform in action through a live demo, showcasing how data-driven insights can accelerate AI adoption at scale.
Presenters: Shubha Nabar, Co-Founder, Faros AI

1:00 pm - 1:20 pm PDT | March 19

Build Generative AI models with NVIDIA NeMo on Azure and NVIDIA DGX Cloud
Learn to build, customize, and deploy multimodal generative AI models with NVIDIA NeMo on Azure. This session covers state-of-the-art NeMo models, from billions to trillions of parameters, including Nemotron, PaxML, and LLAMA. Explore training, fine-tuning, and Azure's optimizations for on-premises performance in the cloud.
Presenters: Hugo Affaticati, Cloud Infrastructure Engineer, Microsoft; Miro Enev, Solution Architect Manager & Principal Engineer, NVIDIA

1:30 pm - 1:50 pm PDT | March 19

Unify teams, sites, and systems with Azure’s adaptive cloud approach
Learn to build, deploy, scale, and manage modern and critical workloads (including AI applications) from cloud to edge with Microsoft’s adaptive cloud approach. Understand how this innovative approach differentiates Azure for customers in their hybrid and multicloud journey.
Presenters: Earl Valencia, Senior Product Marketing Manager, Microsoft; Julie Wang, Product Marketing Manager, Microsoft

2:00 pm - 2:20 pm PDT | March 19

Build Secure and Scalable Gen AI Applications with Azure Databases and NVIDIA AI
Learn how to build secure and scalable Generative AI (GenAI) applications by integrating Azure Databases, SQL Server, and NVIDIA AI, how GPUs optimize AI workloads and how databases enhance AI pipelines. We’ll discuss best practices for enterprise-grade security, managing AI workloads at scale, and leveraging hybrid AI deployments and provide insights into future advancements. 
Presenters: Bob Ward, Principal Architect and Muazma Zahid, Data and AI Leader, Microsoft

2:30 pm - 2:50 pm PDT | March 19

Accelerating Snorkel AIML Research on Azure AI Infrastructure powered by NVIDIA GPUs. Snorkel researchers have contributed to over 170 papers on topics ranging from zero-shot robustification to enterprise alignment to fine-grained LLM evaluation. Join this session to learn how Snorkel is using reward model tuning to harness LLMs for high-level reasoning for agenitic systems and how designing projects on Azure AI infrastructure powered by NVIDIA GPUs helps Snorkel researchers deliver value for our customers and the OSS community even faster.
Presenters: Ramya Ramakrishnan, Staff Applied Research Scientist, Snorkel AI

3:00 pm - 3:20 pm PDT | March 19

Evolution of AI: From AlphaGo to Agentic and Physical AI, all powered by Azure
The AI journey that was sparked from a single move on a Go board to the emergence of agentic and physical AI underscores the incredible potential of AI to innovate, transform industries, and elevate human capabilities. Come learn how NVIDIA and Microsoft Azure are powering the next generation of AI capabilities through the entire AI stack from infrastructure to applications. 

Presenters: John Lee, Principal Program Manager, Microsoft 

3:30 pm - 3:50 pm PDT | March 19

Innovating with AI Physics: Driving Breakthroughs in Engineering with NVIDIA and Microsoft Azure. Engineering and scientific teams are revolutionizing product design with AI-driven physics simulations across industries, from life sciences to aerospace. Join Rescale to explore real-world breakthroughs—from cardiovascular CFD to turbomachinery flows. See AI Physics on the Rescale platform, powered by NVIDIA and Microsoft Azure, in action. Watch a live demo showcasing GM Motosports seamless AI-driven simulations.
Presenters: Madhu Vellakal, Solutions Engineering Manager, Rescale  

4:00 pm - 4:20 pm PDT | March 19

Managed Deployments for AI Workloads on Azure Nvidia GPU VMs with Azure CycleCloud and CycleCloud Workspace. Discover how to efficiently manage and deploy AI workloads in Azure using Azure CycleCloud and CycleCloud Workspace for Slurm on Azure Nvidia GPU VMs. This session will cover how to deploy HPC environments at scale with  CycleCloud, leveraging Slurm for workload management, and the benefits of using Azure Nvidia GPU VMs for AI deployments. Learn best practices, real-world use cases, and gain insights into optimizing your AI infrastructure for performance and scalability. 
Presenters: Param Shah, Technical Program Manager, Microsoft HPC & AI 

4:30 pm - 4:50 pm PDT | March 19

Solving the Unsolvable with LLMs that Reason—Powered by Azure AI Foundry & NVIDIA
The next wave of AI is here—models that don’t just generate, but reason, plan, and solve. With OpenAI’s O-series, DeepSeek’s R1, and other cutting-edge models, enterprises can tackle complex decision-making, strategic problem-solving, and AI-driven autonomy. Join this live demo session to see how Azure OpenAI Service and Azure AI Foundry empower developers to test, compare, and deploy these next-gen models at scale. 
Presenters: Andy Beatman, Director, Product Marketing, Microsoft Azure AI Foundry 

5:00 pm - 5:20 pm PDT | March 19

The Power of horizontal intelligence in a Omniverse on Azure Digital Twin World 
Traditional data models create silos, limiting collaboration and efficiency. With 3D digital twins, organizations can enable Horizontal Intelligence. Explore how integrating real-time operational and enterprise data in a Omniverse on Azure environment fosters better decision-making, predictive insights, and cross-functional collaboration. 
Presenters: Pratap Gulabrao, Vice President - Industry Solutions Lead, Celebal Technologies

5:30 pm - 5:50 pm PDT | March 19

Enabling Trustworthy AI with Microsoft Azure AI Foundry and Azure OpenAI Service
At Microsoft, we believe AI should be powerful, responsible, and secure. Discover the latest trust and safety innovations across Azure AI Foundry, Azure OpenAI Service, and Microsoft Copilot - designed to help enterprises deploy AI with privacy, security, and governance from the start. See live demos of enterprise safety controls, content filtering, and compliance features. This session will equip you with the tools to build and deploy AI you can trust.
Presenters: Andy Beatman, Director, Product Marketing, Microsoft Azure AI Foundry

6:00 pm - 6:20 pm PDT | March 19

Using Robotic Automation Insights to Revolutionize Server and GPU design with Omniverse Kit App Streaming on Microsoft Azure. Supercharge Server and GPU design & assembly for higher yields through robotic automation. Learn how Bright Machines is delivering Design for Automated Assembly (DFAA) and Digital Twin solutions enabled by Omniverse Kit App Streaming (OKAS) and Microsoft Azure.
Presenters: Hari Ramachandran, VP Product, Bright Machines; Sashank Ganti, Principal Product Manager, Bright Machines

Thursday, March 20

12:00 pm - 12:20 pm PDT | March 20

Accelerating AI Innovation with NVIDIA Inference Microservices on Azure AI Foundry
Discover how NVIDIA and Microsoft Azure are transforming AI deployments with NVIDIA Inference Microservices (NVIDIA NIM) on Azure AI Foundry. Learn how NVIDIA NIM simplifies deployment of foundation models across diverse AI use cases, leveraging Azure’s NVIDIA GPU-accelerated infrastructure for unmatched performance, scalability, and reduced TCO. 
Presenters: Rajesh Vasireddy, Director, Partner Tech Strategy, NVIDIA; Raj Nemani, Director, Partner Tech Strategy NVIDIA

12:30 pm - 12:50 pm PDT | March 20

Accelerating Medical Innovation with an End-to-End Imaging and Video Data Management Platform on Azure. Discover how Flywheel’s end-to-end imaging and video data management platform, powered by NVIDIA GPUs and Microsoft Azure, enables Pharmaceutical, Medical-Device, and Healthcare organizations to accelerate innovation. See firsthand how Flywheel’s cloud-native, modular architecture streamlines ingestion, curation, and analysis of complex datasets—transforming raw images into analysis-ready data for multi-center studies, AI model training, clinical trials, and translational research while ensuring regulatory compliance and operational efficiency.
Presenters: Dan Rafter, MD, Flywheel

1:00 pm - 1:20 pm PDT | March 20

Transform Product Design with Cloud-Based NX X and AI using Azure HPC and NVIDIA GPUs. In this session you'll learn about Siemens NX on Azure Virtual Desktop, integrated with NVIDIA GPUs, Azure Nvidia NV series Machines, and Microsoft AI capabilities, offer customers enhanced collaboration, design efficiency, increased security, and significant cost savings. With the help of multi-session capability, you can now experience GPU-accelerated performance. In this session, we'll introduce Siemens' SaaS offering, NX X, now powered by copilot, featuring automated coding and proactive problem solving.
Presenters: Taylor Anderson Director, NX Product Management, Siemens

1:30 pm - 1:50 pm PDT | March 20

Transforming Scientific Workflows with Generative AI on Azure Batch and NVIDIA GPUs This session will showcase the automated execution of a genomics workflow representing a complex genetic variant analysis pipeline on Azure Batch, as well as an AI-powered assistant tool developed on NVIDIA GPUs highlighting how AI enhances research precision, speed, and operational excellence. Whether you're a researcher, practitioner, or AI industry expert, this session is essential for anyone looking to transform and make their scientific workflows more efficient. 
Presenters: Seetha Subramanium, Senior Product Manager, Microsoft

2:00 pm - 2:20 pm PDT | March 20

Mastering Model Customization: Fine-Tuning Azure OpenAI Service Models with Weights & Biases. As businesses increasingly seek AI models tailored to their unique needs, fine-tuning Large Language Models (LLMs) has emerged as a powerful customization strategy—enhancing accuracy, efficiency, and domain relevance. Learn how fine-tuning such as hyperparameter tuning, model evaluation, and performance monitoring can ensure optimal results.
Presenters: Anish Shah, AI Solutions Engineer, Weights and Biases

2:30 pm - 2:50 pm PDT | March 20

From Dribble to Deluge: Supercharging AI with WEKA’s Game-Changing Architecture on Azure. In the era of AI reasoning and agents, data infrastructure bottlenecks are holding back innovation. Enter the WEKA Data Platform, a high-performance, scalable storage system, optimized for AI in Azure. Join us for a demonstration of the performance and scale WEKA provides for your AI workloads in Azure. We’ll dive into WEKA capabilities to provide sub-millisecond latency and high throughput at petabyte scale, bridging the gap between compute performance and data storage. These capabilities are critical to the success of next-generation infrastructure deployments supporting AI model training, tuning and inference.
Presenters: Sheen Austin, Sr Director of AI Platforms, Weka.IO

4:00 pm - 4:20 pm PDT | March 20

Microsoft for Startups & NVIDIA Inception: Identifying and Supporting the World's Best Startups. RAG systems depend on contextually relevant data. But how do you make sure that the data you're using is always relevant? Join Pinecone to discuss vector retrieval plus reranking models and how using them together will boost the reliability and effectiveness of your RAG application.
Presenters: Cory Waddingham, Staff Partner Engineer, Pinecone

4:30 pm - 4:50 pm PDT | March 20

Introducing Azure NetApp Files (ANF) for AI 
Azure NetApp Files (ANF) is a high-performance file storage service by Microsoft, integrated with NetApp technology. Dive into how it's new GenAI Toolkit seamlessly integrated with Azure OpenAI Service models, simplifies GenAI services deployment, enhances LLM accuracy, and facilitates retrieval-augmented generation (RAG) for precise outputs by leveraging proprietary data stored in ANF for superior inference capabilities and business continuity.
Presenters: Andy Chan, Principal Product Manager, Azure Netapp Files HPC/EDA, NetApp

5:30 pm - 5:50 pm PDT | March 20

Building Competitive Advantage in Automotive with A2MAC1 on Microsoft Azure 
This session explores how automotive OEMs and suppliers can gain a competitive edge by leveraging the A2MAC1 Solutions Platform on Microsoft Azure. It highlights the latest advancements in automated costing and CO2 management, the productivity and outcome improvements driven by benchmarking copilot and virtual benchmarking, and the value of next-generation market insights in discovering and understanding the latest innovations and trends in the automotive industry.
Presenters: Timothy Kiester, Customer Engagement Manager, A2MAC1

6:00 pm - 6:20 pm PDT | March 20

Beyond Vibe Checks: Building Reliable GenAI with an Eval-First Approach 
In this session, you will learn how to move beyond intuition-based “vibe checks” toward a structured Eval-First approach, enabling you to build reliable, trustworthy, and scalable generative AI applications. Discover how embedding automated evaluations early and consistently across your development lifecycle helps avoid costly mistakes, accelerates deployment, and aligns AI outputs more closely with business goals and user expectations.
Presenters: Roie Schwaber-Cohen, Principal Developer Advocate, Galileo


Microsoft Azure at NVIDIA GTC

We look forward to seeing you at the NVIDIA GTC AI Conference. Visit our Innovation starts here! Join Microsoft at NVIDIA GTC AI Conference blog post to learn how to engage with Microsoft Azure at GTC and discover Azure's end-to-end platform for AI innovation.

 

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Updated Mar 19, 2025
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