NVIDIA Brings New Production AI Capabilities to Microsoft Azure at Microsoft Ignite

Discover how NVIDIA is enabling enterprises with instant access to AI supercomputing at Microsoft’s annual technology conference, from Nov.14-17, in Seattle. 
by Rohil Bhargava

AI has become the cornerstone of innovation, and organizations now face the challenging task of harnessing its power to streamline operations, improve customer offerings and create new business opportunities.

NVIDIA and Microsoft Azure have come together to support these demands by bringing state-of-the-art AI infrastructure and software to companies tackling challenging workloads. NVIDIA will showcase its AI solutions portfolio with Microsoft Azure at Microsoft Ignite, running Nov. 14-17, in Seattle.

For example, NVIDIA DGX Cloud, available on Microsoft Azure, allows enterprises to train models for generative AI and fuel other advanced applications.

And to accelerate the digitalization of enterprise industrial operations, such as building virtual factories or validating autonomous vehicles, NVIDIA recently announced that Microsoft Azure will host NVIDIA Omniverse Cloud, a platform as a service that gives businesses instant access to a full-stack environment to design, deploy and manage their digitalized operations.

Additionally, NVIDIA GPU-accelerated virtual machines on Azure, such as the recently announced ND H100 v5-series powered by NVIDIA H100 Tensor Core GPUs and NVIDIA Quantum-2 InfiniBand networking, enable an order-of-magnitude leap in performance and scalability to power the most challenging AI training and inference workloads.

Learn more about how NVIDIA and Microsoft technologies are transforming industrial operations in the following Ignite sessions:

  • Unlocking Generative AI in Enterprise With NVIDIA DGX Cloud on Microsoft  Azure: Carolyne Van Den Hoogen, product marketing specialist for the DGX platform at NVIDIA, and Robin Wood, director of global partner development at Microsoft, will talk about how NVIDIA DGX Cloud provides enterprises with the fastest path to advanced, production-ready models for generative AI applications, including large language models. Join on Thursday, Nov. 16, at 4 p.m. PT.
  • Protecting Data and AI Models With Confidential Computing on Azure: Vikas Bhatia, head of product for Azure Confidential Computing at Microsoft, will discuss Microsoft Azure’s confidential computing offering and customer success stories, and Michael O’Connor, senior director of software architecture at NVIDIA, will share how confidential computing enables secure AI use cases that meet regulatory requirements. Join this virtual session on Thursday, Nov. 16, at 5:15 p.m. PT.
  • Accelerate Building and Deploying AI Using NVIDIA AI Enterprise in Azure Machine Learning: Listen to this prerecorded session to hear from Abhishek Sawarkar, a product manager for GPU Cloud at NVIDIA, as he shares how the latest NVIDIA models, frameworks, containers and more available through Azure Machine Learning are streamlining the building and deployment of production AI at scale.
  • Use NVIDIA AI Enterprise in Azure Machine Learning in Ease: NVIDIA experts will demonstrate how Azure Machine Learning with NVIDIA AI Enterprise integration empowers enterprises to build, deploy and scale production AI with ease. The session will also feature an example of an end-to-end flow, from LLM fine-tuning to model customization with NVIDIA NeMo to deployment with NVIDIA Triton Inference Server and NVIDIA TensorRT-LLM. Attend on Wednesday, Nov. 15, at 4:45 p.m. PT.
  • Unlock AI Innovation With Azure AI Infrastructure: Ian Buck, vice president of high performance computing and hyperscale at NVIDIA, will participate in a breakout session with Nidhi Chappell, general manager of generative AI and high performance computing at Microsoft Azure, on Thursday, Nov. 16, from 5:15-6 p.m. PT.

Microsoft and NVIDIA will also host a roundtable on generative AI on Nov. 15, where they’ll share insights on how to choose the right platform for successful generative AI, make AI cost-effective and more.

For more details, explore the NVIDIA showcase page for Microsoft Ignite.