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Microsoft Azure and NVIDIA are empowering enterprises to achieve new levels of innovation. With NVIDIA’s full-stack accelerated computing platform combined with Microsoft’s global-scale, simplified infrastructure management, enterprises can transform their businesses.
Learn how a wide range of companies are creating value with NVIDIA on Azure.
Recycling innovator Encina uses computational simulations to build real-world sustainability solutions with with NVIDIA and Azure.
Everseen’s proprietary visual AI solution, utilizing NVIDIA on Azure, improves retailers’ bottom lines by correcting business processes in real time.
Riskfuel, a startup specializing in accelerated valuation models powered by NVIDIA on Azure is transforming the over-the-counter (OTC) derivatives market by providing on-demand access to fast valuation and risk sensitivity calculations.
BMW transformed its electric vehicle production system by leveraging NVIDIA GPUs and Azure Machine Learning to power its fully automated control processes.
The latest Phi-3 family of small language modles (SLMs) are GPU-optimized with NVIDIA® TensorRT™-LLM and available as NVIDIA NIM inference microservices that can be deployed anywhere.
Powerful new integrations leverage the latest NVIDIA generative AI and Omniverse™ technologies across Microsoft Azure, Azure AI services, Microsoft Fabric, and Microsoft 365.
Omniverse Cloud will be available as APIs, extending the reach of the world’s leading platform for creating industrial digital twins across the entire ecosystem of software makers.
NVIDIA Omniverse Cloud APIs on Microsoft Azure bring data interoperability, collaboration, and physically-based visualization to software tools for design, building, and operating industrial digital twins.
NVIDIA introduced an AI foundry service for the development and tuning of custom generative AI applications for enterprises and startups deploying on Microsoft Azure.
Learn how to deploy the NVIDIA AI Enterprise software suite on Azure to build data science pipelines and AI applications.
Build custom generative applications using pretrained NVIDIA AI Foundation models, NVIDIA NeMo™, and NVIDIA DGX™ Cloud. Transition to production and deploy on Azure with NVIDIA AI Enterprise.
NVIDIA AI Enterprise on the Azure marketplace includes a virtual machine image (VMI), which provides an optimized runtime for easy access to NVIDIA AI Enterprise software and development compatibility between clouds and on-premises infrastructure.
Deliver industrial-grade custom AI models that can be deployed with security, stability, and support with NVIDIA AI foundry service powered by DGX Cloud.
From AI and the metaverse to professional design and engineering applications, NVIDIA software and services are optimized for Azure, enabling simple and reliable enterprise adoption.
NVIDIA DGX Cloud is an AI-training-as-a-service platform, offering a serverless experience for enterprise developers that’s optimized for generative AI.
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 NVIDIA RTX™ rendering technologies into their 3D industrial digitalization applications.
Build accelerated production AI with NVIDIA AI Enterprise, the software platform of NVIDIA AI, with certified GPU-optimized instances on Azure. In minutes, get access to NVIDIA NIM™ microservices, frameworks, and models to build AI workflows, including intelligent virtual assistants, recommendation engines, route optimization solutions, vision AI, and more.
With NVIDIA RTX™ Virtual Workstations, available on Azure Marketplace, creative and technical professionals can maximize their productivity from anywhere by accessing the most demanding professional design and engineering applications from the cloud.
Microsoft Azure virtual machines—powered by NVIDIA GPUs—provide 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. Additionally, with support for NVIDIA platforms across Azure hybrid cloud and edge solutions, you can extend the power of the cloud to meet the real-time, low-latency constraints of AI applications anywhere.
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