Microsoft and NVIDIA collaborate to boost Generative AI for enterprises globally


March 19, 2024 by our News Team

Microsoft and NVIDIA collaborate to integrate NVIDIA AI and Omniverse technologies across Microsoft services, aiming to bring advances in AI infrastructure, healthcare, life science, and industrial digitalization.

  • Synergy between Microsoft and NVIDIA technologies will drive advancements in AI infrastructure, healthcare and life sciences, industrial digitalization, and AI deployment.
  • Customers will have access to comprehensive platforms and tools across every layer of the Copilot stack, from silicon to software, to build their own breakthrough AI capabilities.
  • The collaboration will bring the promise of AI to life and drive productivity gains for individuals and organizations worldwide.


In a major collaboration, Microsoft Corp. and nVidia have announced new integrations that harness the power of NVIDIA generative AI and Omniverse technologies across Microsoft Azure, Azure AI services, Microsoft Fabric, and Microsoft 365. This partnership aims to bring the promise of AI to life and drive productivity gains for individuals and organizations worldwide.

Satya Nadella, Chairman and CEO of Microsoft, expressed his excitement about the collaboration, stating, “Together with NVIDIA, we are making the promise of AI real, helping to drive new benefits and productivity gains for people and organizations everywhere.” He highlighted the comprehensive platforms and tools that customers will have access to across every layer of the Copilot stack, from silicon to software, to build their own breakthrough AI capabilities.

Jensen Huang, founder and CEO of NVIDIA, emphasized the transformative power of AI in our daily lives and the importance of collaboration with Microsoft to unlock its full potential. He said, “Through our collaboration with Microsoft, we’re building a future that unlocks the promise of AI for customers, helping them deliver innovative solutions to the world.”

Microsoft’s advancements in AI infrastructure include bringing the power of NVIDIA Grace Blackwell GB200 and advanced NVIDIA Quantum-X800 InfiniBand networking to Azure. They will also deliver trillion-parameter foundation models for natural language processing, computer vision, speech recognition, and more. Additionally, Microsoft is announcing the general availability of its Azure NC H100 v5 VM virtual machine based on the NVIDIA H100 NVL platform, offering customers mid-range training and inferencing capabilities.

The collaboration between Microsoft and NVIDIA extends to healthcare and life sciences, where cloud, AI, and supercomputing technologies are set to transform the industry. By leveraging Microsoft Azure alongside NVIDIA DGX Cloud and the NVIDIA Clara suite of microservices, healthcare providers, pharmaceutical and biotechnology companies, and medical device developers can innovate rapidly across clinical research and care delivery with improved efficiency.

Microsoft is also demonstrating the potential of NVIDIA Omniverse Cloud APIs on Microsoft Azure, enabling developers to enhance data interoperability, collaboration, and physics-based visualization in existing software applications. For example, factory operators can use an interactive 3D viewer in Microsoft Power BI to gain real-time insights by overlaying factory data on a 3D digital twin of their facility.

In addition, NVIDIA GPUs and NVIDIA Triton Inference Server are powering AI inference predictions in Microsoft Copilot for Microsoft 365. Copilot combines large language models with enterprise data to deliver real-time contextualized intelligence, enhancing users’ creativity, productivity, and skills. Furthermore, NVIDIA NIM inference microservices are coming to Azure AI to accelerate AI deployments, providing cloud-native microservices for optimized inference on popular foundation models.

Overall, the collaboration between Microsoft and NVIDIA aims to drive advancements in AI infrastructure, healthcare and life sciences, industrial digitalization, and AI deployment. By leveraging the latest technologies and platforms, they are set to unlock the full potential of AI and deliver innovative solutions to customers worldwide.

Microsoft and NVIDIA collaborate to boost Generative AI for enterprises globally

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Background Information


About Microsoft: Microsoft, founded by Bill Gates and Paul Allen in 1975 in Redmond, Washington, USA, is a technology giant known for its wide range of software products, including the Windows operating system, Office productivity suite, and cloud services like Azure. Microsoft also manufactures hardware, such as the Surface line of laptops and tablets, Xbox gaming consoles, and accessories.

Microsoft website  Microsoft LinkedIn

About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

nVidia website  nVidia LinkedIn

Technology Explained


Grace Blackwell: Grace Blackwell is a cutting-edge technology that has revolutionized the computer industry. It is a type of artificial intelligence that is designed to mimic human cognitive abilities, such as learning, problem-solving, and decision-making. This technology has been applied in various areas of the computer industry, including data analysis, natural language processing, and machine learning. For example, Grace Blackwell can analyze large amounts of data and identify patterns and trends, making it a valuable tool for businesses to make informed decisions. It can also understand and respond to human language, making it useful for virtual assistants and chatbots. Additionally, Grace Blackwell can continuously learn and improve its performance, making it an invaluable asset in the development of new technologies. Overall, Grace Blackwell has greatly enhanced the capabilities of computers and has opened up new possibilities for the future of technology.





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