This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines.

This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines.

This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines.

This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines.

This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines.

This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines.

This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines.

This session will focus on the transformative impact of digital twins on manufacturing and supply chains, powered by AI. Leaders from across the ecosystem share how these technologies can accelerate the planning and build-out of advanced manufacturing facilities. Additionally, we will explore how to transform productivity and efficiency across existing operations leveraging data and AI including use of agents.

Join Microsoft, NVIDIA, and Wandelbots to explore how Physical AI-driven robotics is moving from simulation environments into real industrial deployments. Building on high-fidelity simulation, digital twins, and synthetic data, the panel will discuss how manufacturers are now wiring real factory data into these systems to deploy robots with greater speed, safety, and confidence.

Explore how open standards and design patterns enable scalable, repeatable digital twins that aggregate heterogeneous operational data onto physically accurate 3D objects. Experience how Microsoft and NVIDIA apply OpenUSD, CloudEvents, OpenTelemetry, and other open standards to bridge data engineering and data science. Learn how these patterns unify real-world data into actionable digital twins—extensible across domains, systems, and protocols.

The intersection of AI and Cybersecurity – powered by Microsoft and accelerated by NVIDIA: Discover how Microsoft's MSEC team is redefining enterprise AI immunity — a solution developed in collaboration with NVIDIA. Explore how Microsoft and NVIDIA are partnering to power agentic capabilities at scale, enabling AI-driven innovation for Cybersecurity use cases. Learn how the platform leverages the full NVIDIA AI stack and how AI agents through Microsoft are tapping into NVIDIA GPU infrastructure.

Join us to learn how to deploy the #1 Physical Reasoning vision language model, NVIDIA Cosmos Reason on Azure. Discover how to use Cosmos Reason across 3 main use cases for: - Data curation and annotation to accelerate the creation of high-quality training datasets - Robot planning and reasoning to train robot vision language action models - Video analytics to analyze live or pre-recorded content

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

The era of agentic and physical AI is here. The NVIDIA Blackwell architecture delivers groundbreaking advancements for next-gen AI and accelerated computing workloads ranging from reasoning and multimodal inference, to robotics simulation and visual AI agents. Explore how the purpose-built collaboration of NVIDIA Blackwell Ultra and NVIDIA RTX PRO 6000 Blackwell tackle a range of AI use cases leveraging the security and flexibility of Microsoft Azure cloud - delivering smarter, faster and more efficient AI.

Azure and NVIDIA Omniverse are transforming how SDCs, GSIs, and enterprises build Digital Twins, Simulation, and Physical AI workloads. As a unified platform, they enable immersive 3D collaboration, real-time monitoring, and physics-based simulations to optimize operations. Physical AI accelerates Human-Robot-AI collaboration via synthetic 3D data and Large Action Model training. Real-world scenarios show partners driving innovation and excellence.

Experience the power of the newly launched NVIDIA Blackwell GPUs, designed to accelerate a wide array of workloads including video streaming, graphics rendering, product design, digital twins, and AI development. Explore the latest GPU offerings with Azure Cloud and learn how to leverage Azure Local for cost-effective hybrid deployments of cutting-edge use cases. We will also provide sizing recommendations and deployment options for various workloads.

Join us to learn how to deploy the #1 Physical Reasoning vision language model, NVIDIA Cosmos Reason on Azure. Discover how to use Cosmos Reason across 3 main use cases for: - Data curation and annotation to accelerate the creation of high-quality training datasets - Robot planning and reasoning to train robot vision language action models - Video analytics to analyze live or pre-recorded content

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join Wandelbots, Microsoft and NVIDIA for a discussion on the next era of physical AI. Explore how simulations, powered by NVIDIA accelerated computing and accelerated by NVIDIA Omniverse libraries and frameworks, Microsoft Azure, and OpenUSD are rapidly accelerating robotics development. Learn how digital twins, synthetic data generation, and closed-loop data integrations reduce risk, speed up skill acquisition, and ensure robust performance for advanced industrial and AI for robotics.

This hands-on workshop teaches how to build and deploy intelligent AI agents for enterprise research using AI-Q NVIDIA Blueprint and NVIDIA Nemotron on Azure Kubernetes Service (AKS). Learn to leverage AI reasoning, multimodal data extraction, and retrieval-augmented generation to uncover actionable insights from enterprise data. Ideal for developers aiming to accelerate AI-driven knowledge discovery and decision-making.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join us for a live demo of how NVIDIA Run:ai integrates with Microsoft Azure to simplify and scale AI infrastructure. See how Run:ai enables efficient GPU scheduling across Azure VMs, AKS, and hybrid environments. With deep integration into Azure Active Directory and Blob Storage, Run:ai helps teams maximize GPU utilization, streamline operations, and accelerate AI development — all within your existing Azure ecosystem.

Learn to deploy Enterprise-grade Retrieval-Augmented Generation (RAG) agents using NVIDIA Nemotron and NIM microservices on Azure Kubernetes Service (AKS). This hands-on lab walks you through building scalable, GPU-accelerated AI pipelines powered by Azure and NVIDIA AI Enterprise.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Agentic AI is redefining how enterprises operate—automating complex workflows and unlocking value across business functions. In this session, explore how NVIDIA and Azure are accelerating the development, deployment, and orchestration of agentic AI applications at scale. Learn how NVIDIA’s key offerings such as NVIDIA Nemotron models, NVIDIA NIM, and NVIDIA NeMo Agent Toolkit on Azure AI platform equip organizations to boost innovation and fully realize the promise of agentic AI.

As LLMs grow, efficient inference requires multi-node execution—introducing challenges in orchestration, scheduling, and low-latency GPU-to-GPU data transfers. Hardware like the GB200 NVL72 delivers massive scale-up compute, but truly scalable inference also depends on advanced software. Explore how open-source frameworks like NVIDIA Dynamo, combined with Azure’s AKS managed Kubernetes service, unlock new levels of performance and cost-efficiency.

Unlock the potential of accelerated AI workflows in this hands-on workshop, where participants will learn how to rapidly deploy and integrate NVIDIA’s Nemotron NIM models using Microsoft Foundry’s powerful cloud-native tools. Through guided exercises, you’ll explore model provisioning, configuration, and optimization techniques that streamline AI deployment from prototype to production. Ideal for developers, data scientists, and AI engineers looking to leverage high-performance models in scalable cloud environments.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Unlock the potential of accelerated AI workflows in this hands-on workshop, where participants will learn how to rapidly deploy and integrate NVIDIA’s Nemotron NIM models using Microsoft Foundry’s powerful cloud-native tools. Through guided exercises, you’ll explore model provisioning, configuration, and optimization techniques that streamline AI deployment from prototype to production. Ideal for developers, data scientists, and AI engineers looking to leverage high-performance models in scalable cloud environments.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Effective physical AI allows for safe collaboration with people and technology that powers reasoning and action in real time, moving beyond scripts to make on‑the‑fly decisions like moving materials and assembling parts. Understand end‑to‑end workflows with NVIDIA Isaac and Omniverse: data collection, curation, digital twins, training at scale, high‑fidelity simulation, and deployment. You'll experience proven toolchains and OpenUSD examples to accelerate smarter, more adaptable AI for robotics.