Artificial intelligence is transformational technology, but simplifying and accelerating the development of AI workflows is crucial to its adoption.
At the Microsoft Build developer conference, running May 23-25, developers, engineers and IT professionals can get a firsthand look at the latest NVIDIA technologies, tools and techniques that can help them take AI into production. NVIDIA AI experts will show how to use the full-stack NVIDIA AI platform on Microsoft Azure to build, deploy and scale AI-enabled applications for a variety of use cases.
To further enterprise efforts, NVIDIA provides the performance, versatility and scale to supercharge AI training and inference workloads with the new NVIDIA H100 Tensor Core GPUs on Azure. It streamlines the development and deployment of production AI with the NVIDIA AI Enterprise software suite along with Azure Machine Learning. And it delivers record-setting AI performance in industry-standard MLPerf benchmarks.
In addition, by connecting the NVIDIA Omniverse platform to Azure cloud, NVIDIA and Microsoft are providing hundreds of millions of Microsoft enterprise users with access to powerful industrial metaverse and AI supercomputing resources.
Register free for Microsoft Build to connect virtually and discover how the NVIDIA AI platform can deliver optimal speed and scale in the Azure cloud.
NVIDIA Sessions at Microsoft Build
Check out the following sessions to hear how the NVIDIA AI Enterprise platform, NVIDIA Omniverse Cloud and other technologies can help deliver AI without extra complexity.
- Seth Juarez, principal program manager at Microsoft, sits down with Dylan Dias, chief alliances officer and head of cloud partnerships, worldwide, at Fractal Analytics, to discuss next-generation AI services built with NVIDIA AI on Azure cloud. Watch a broadcast of the interview, which will follow the Microsoft Build opening keynote on Tuesday, May 23.
- How to Build Next-Gen AI Services With NVIDIA AI on Azure Cloud: Through discussion and demos, developers will learn how to use NVIDIA AI platform software on Azure to speed up the generation of data and simplify the development and deployment of AI applications. Tuesday, May 23, at 11:30 a.m. PT.
- Build, Customize and Deploy Large Language Models at Scale on Azure With NVIDIA NeMo: This technical session will cover how the NVIDIA NeMo framework allows enterprises to build their own custom language or image models, or customize existing foundation models and deploy them at scale on Azure. Experts will highlight the features that accelerate the entire workflow. Tuesday, May 23, at 12:30 p.m. PT.
- Harnessing Generative AI With NVIDIA AI and Microsoft Azure: The rapid adoption of OpenAI’s ChatGPT has led developers across industries to look for ways to create new business models that automate personalized content creation, enhance customer engagement and improve overall efficiency. Learn how the combined power of NVIDIA AI and the Microsoft Azure ND H100 v5 AI supercomputer, powered by NVIDIA H100 GPUs, can help develop and launch generative AI apps. Wednesday, May 24, at 11 a.m. PT.
- NVIDIA AI Enterprise Registry for Azure Machine Learning Deployments of AI Workflows: Registries in Azure Machine Learning are repositories of AI assets that define complete MLOps workflows in production. This technical session will present ready-to-use examples of NVIDIA AI Enterprise end-to-end applications — such as for computer vision and model inference optimization — in the form of Azure Machine Learning resources hosted in the NVIDIA AI Enterprise Azure Machine Learning Registry. Wednesday, May 24, at 12:15 p.m. PT.
- Accelerating 3D Simulation Workflows With NVIDIA Omniverse and DGX Cloud on Azure: Collecting and labeling real-world datasets for diverse road, traffic and weather conditions is vital to scaling autonomous vehicle development. Learn how Azure enables complete workflows using synthetic data generation in NVIDIA DRIVE Sim on Omniverse Cloud, training AI models on DGX Cloud and simulating the model performance in DRIVE Sim.
- Azure-Enabled Vision AI With NVIDIA AI Enterprise and Jetson: Learn about hybrid vision AI, and hear about how NVIDIA DeepStream SDK, TAO Toolkit, Triton Inference Server and Jetson platform for edge AI and robotics — combined with Azure Cognitive Services and the Azure DeepStream Accelerator — can assist in deploying, updating and managing vision AI use cases.
- Federated Learning With Azure Machine Learning, NVIDIA FLARE and MONAI: Learn about federated learning as a secure, collaborative approach to machine learning that uses the combined power of Azure Machine Learning and NVIDIA FLARE. The session will cover federated learning’s critical role in today’s data-driven landscape and include a hands-on demo of a medical imaging use case with MONAI frameworks.
Register today for these digital sessions and learn more about how NVIDIA and Microsoft can help make AI work across businesses to improve efficiency, improve customer service and empower new capabilities.