Microsoft Build 2025

NVIDIA NIM™ microservices provide prebuilt containers powered by NVIDIA inference software—including NVIDIA Triton™ Inference Server and TensorRT™-LLM—which enable developers to reduce deployment times from weeks to minutes.

NVIDIA DGX™ Cloud is an AI platform designed for developers, offering a serverless experience optimized for the demands of generative AI.

With NVIDIA RTX™ Virtual Workstations, 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.

NVIDIA Omniverse Cloud 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.

NVIDIA AI Enterprise 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.

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.