# Microsoft Build 2025 Join NVIDIA at [Microsoft Build](https://build.microsoft.com/en-US/home) to learn how we’re partnering with Microsoft to accelerate the development and deployment of generative AI across Microsoft Azure, Azure AI services, Microsoft Fabric, and Microsoft 365. May 19–22 | Seattle and Online NVIDIA and Microsoft Azure are empowering enterprises to achieve new levels of innovation. By leveraging the full-stack NVIDIA accelerated computing platform in Azure for generative AI and industrial digitalization, enterprises are enhancing productivity, transforming operations, and elevating customer experiences across diverse industries. [Visit Us at Booth #604 to Learn More](https://build.microsoft.com/en-US/partners/567f2b46-acc6-4d06-a9dd-2cc44d4ef37f?source=partners) ## Explore NVIDIA Sessions and Workshops at Microsoft Build ### Monday, May 19 11:15 a.m.–12:45 p.m. PT #### Code, Create, Accelerate: A Hands-On Journey Through NVIDIA’s Full Stack | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP380-R1?source=sessions) --- 1:15–2:45 p.m. PT #### Supercharge AI on RTX AI PCs with TensorRT | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP381?source=sessions) --- 2:30–3:30 p.m. PT #### Speed AI Agent Development and Deployment With NVIDIA on Azure [Learn More](https://build.microsoft.com/en-US/sessions/BRKFP257?source=sessions) --- 3:00–4:30 p.m. PT #### Master the New NVIDIA Dynamo, a Framework for Reasoning Models | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP382?source=sessions) --- 4:45–6:15 p.m. PT #### Code, Create, Accelerate: A Hands-On Journey Through NVIDIA’s Full Stack | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP380-R1?source=sessions) --- ### Tuesday, May 20 11:00 a.m.–1:00 p.m. PT #### Supercharge AI on RTX AI PCs with TensorRT | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP381-R2?source=sessions) --- 1:45–3:15 p.m. PT #### Code, Create, Accelerate: A Hands-On Journey Through NVIDIA’s Full Stack | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP380-R2?source=sessions) --- 3:30–5:00 p.m. PT #### NVIDIA Startup Pitch Showcase [Learn More](https://build.microsoft.com/en-US/sessions/LABFP384) 5:15–6:45 p.m. PT #### Code, Create, Accelerate: A Hands-On Journey Through NVIDIA’s Full Stack | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP380-R3?source=sessions) ### Wednesday, May 21 9:00–10:00 a.m. PT #### Windows AI Developer Workstations: Optimized for AI [Learn More](https://build.microsoft.com/en-US/sessions/BRK222?source=sessions) --- 9:00–10:30 a.m. PT #### Code, Create, Accelerate: A Hands-On Journey Through NVIDIA’s Full Stack | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP380-R4?source=sessions) --- 10:45 a.m.–12:15 p.m. PT #### Supercharge AI on RTX AI PCs with TensorRT | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP381-R2?source=sessions) --- 1:00–2:30 p.m. PT #### Create Digital Humans and AI Images with RTX PCs and Workstations | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP383?source=sessions) --- 2:45–4:15 p.m. PT #### Code, Create, Accelerate: A Hands-On Journey Through NVIDIA’s Full Stack | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP380-R5?source=sessions) --- 3:10–3:25 p.m. PT #### Accelerate AI on NVIDIA RTX AI PCs with Windows ML [Learn More](https://build.microsoft.com/en-US/sessions/DEMFP796?source=sessions) --- 4:30–6:00 p.m. PT #### Master the New NVIDIA Dynamo, a Framework for Reasoning Models | NVIDIA Lab [Learn More](https://build.microsoft.com/en-US/sessions/LABFP382-R1) ## Explore NVIDIA AI Solutions on Azure ### Instantly Run and Deploy Generative AI NVIDIA NIM™ microservices provide prebuilt containers powered by NVIDIA inference software—including [NVIDIA Triton™ Inference Server](https://developer.nvidia.com/triton-inference-server) and TensorRT™-LLM—which enable developers to reduce deployment times from weeks to minutes. [Try Now](https://www.nvidia.com/en-us/ai.md) ### NVIDIA DGX Cloud on Microsoft Azure [NVIDIA DGX™ Cloud](https://www.nvidia.com/en-us/data-center/dgx-cloud.md) is an AI platform designed for developers, offering a serverless experience optimized for the demands of generative AI. [Get the Best of NVIDIA AI on Azure](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/nvidia.dgx-cloud?tab=overview) ### Accelerated Virtual Workstations With [NVIDIA RTX™ Virtual Workstations](https://www.nvidia.com/en-us/design-visualization/virtual-workstation.md), available on Azure Marketplace and Azure Virtual Desktop, creative and technical professionals can maximize their productivity from anywhere by accessing the most demanding design and engineering applications from the cloud. [Launch a Virtual Workstation](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/nvidia.nvidia-quadro-vws-win2022?tab=Overview) ### Omniverse Cloud on Azure [NVIDIA Omniverse Cloud](https://www.nvidia.com/en-us/omniverse/cloud/platform-as-a-service.md) is a platform of APIs, SDKs, and services available within a full-stack cloud environment for enterprise developers. Omniverse Cloud makes it easy to integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into their 3D industrial digitalization applications. NVIDIA Omniverse Cloud APIs will be available first on Microsoft Azure later this year, enabling developers to bring increased data interoperability, collaboration, and physics-based visualization to existing software applications. [Unify Your 3D Work With USD in Omniverse](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/nvidia.nvidia-omniverse-cloud?tab=overview) ### NVIDIA AI Enterprise on Azure Marketplace [NVIDIA AI Enterprise](https://www.nvidia.com/en-us/data-center/products/ai-enterprise.md) is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of AI applications, including generative AI. NVIDIA AI Enterprise on Azure Marketplace includes a virtual machine instance (VMI) that provides an optimized runtime for easy access to the software and ensures development compatibility between clouds and on-premises infrastructure. Develop once, run anywhere. [Accelerate Production AI](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/nvidia.nvidia-ai-enterprise?tab=overview) ### NVIDIA GPU-Accelerated Virtual Machines Azure virtual machines—powered by the latest NVIDIA GPUs—give customers around the world access to industry-leading GPU-accelerated cloud computing. Accelerate application performance within a broad range of Azure services, such as Azure Machine Learning, Azure Synapse Analytics, or Azure Kubernetes Service. With support for NVIDIA platforms across Azure hybrid cloud and edge solutions, developers can extend the power of the cloud to meet the real-time, low-latency constraints of AI applications anywhere. [Get Started](https://marketplace.nvidia.com/en-us/cloud-solutions/product/?sku=microsoft-azure) ## Explore Additional Resources ### Access Tools, Training, and Experts Join our free Developer Program to access the 600+ SDKs, AI models, free training, community forums, tech blogs, and technical resources that can accelerate your work and advance your skills. Build on your existing technical knowledge or learn a new technology by taking advantage of a free self-paced course. [Join the NVIDIA Developer Program](https://developer.nvidia.com/join-nvidia-developer-program) ### Explore NVIDIA Training Our expert-led courses and workshops provide learners with the knowledge and hands-on experience necessary to unlock the full potential of NVIDIA solutions. NVIDIA Training offers customized training plans to bridge technical skill gaps and provide relevant, timely, and cost-effective solutions for your organization’s growth and development. [Visit NVIDIA Training](https://www.nvidia.com/en-us/learn/organizations.md) ### Accelerate Your Startup The NVIDIA Inception program provides over 20,000 cutting-edge startups worldwide with critical go-to-market support, technical expertise, training, and funding opportunities to accelerate their business. [Learn More and Apply](https://www.nvidia.com/en-us/startups.md) Sign up to receive the latest news from NVIDIA. [Subscribe](https://www.nvidia.com/en-us/preferences/email-signup.md)