Microsoft Corp. and NVIDIA are joining forces to bring groundbreaking advancements in the field of artificial intelligence (AI). With this expanded collaboration, they aim to leverage cutting-edge technologies to enhance the capabilities of Microsoft Azure, Azure AI services, Microsoft Fabric, and Microsoft 365.
The partnership between these two industry giants is set to revolutionize the AI landscape. Through the integration of NVIDIA’s generative AI and Omniverse technologies, Microsoft will be able to provide its customers with comprehensive platforms and tools across all aspects of AI development.
Satya Nadella, the chairman and CEO of Microsoft, expressed his excitement about the collaboration, stating that these joint efforts with NVIDIA will drive new benefits and productivity gains for people and organizations worldwide. He went on to highlight the key developments, mentioning the integration of the GB200 Grace Blackwell processor into Azure and the new integrations between DGX Cloud and Microsoft Fabric. These announcements reinforce Microsoft’s commitment to delivering breakthrough AI capabilities to its customers.
Jensen Huang, founder and CEO of NVIDIA, emphasized the transformative power of AI in our daily lives. He stated that through their collaboration with Microsoft, they are unlocking AI’s potential to deliver innovative solutions globally.
Here are the highlights of the advancements in AI infrastructure resulting from this collaboration:
1. NVIDIA Grace Blackwell GB200 and Quantum-X800 Networking: Microsoft will be one of the first organizations to adopt the powerful NVIDIA Grace Blackwell GB200 processor and advanced networking technology in Azure. This will enable the development of cutting-edge trillion-parameter foundation models for various AI applications such as natural language processing, computer vision, and speech recognition.
2. Azure NC H100 v5 VM: Microsoft is announcing the general availability of Azure NC H100 v5 VM, based on the NVIDIA H100 NVL platform. These virtual machines are specifically designed for midrange training and inferencing. They offer customers the flexibility and scalability of NVIDIA Multi-Instance GPU technology, which allows for partitioning each GPU into up to seven instances.
3. Healthcare and Life Sciences Breakthroughs: Microsoft and NVIDIA are expanding their collaboration in the healthcare and life sciences sectors. By leveraging the power of Microsoft Azure, NVIDIA DGX Cloud, and the NVIDIA Clara suite of microservices, healthcare providers, pharmaceutical and biotechnology companies, and medical device developers will be able to innovate rapidly across clinical research and care delivery, leading to improved efficiency.
4. Industrial Digitalization: Microsoft Azure will be the first platform to offer NVIDIA Omniverse Cloud APIs. This integration will empower developers to enhance data interoperability collaboration and enable physics-based visualization in their software applications. This advancement will have a significant impact on industrial design and simulation tools, allowing real-time insights and accelerating production processes.
5. NVIDIA Triton Inference Server and Microsoft Copilot: NVIDIA GPUs and the Triton Inference Server will play a crucial role in AI inference predictions in Microsoft Copilot for Microsoft 365. Copilot, soon available as a dedicated physical keyboard key on Windows 11 PCs, combines large language models with enterprise data to provide real-time contextualized intelligence, boosting creativity, productivity, and skills.
6. NVIDIA NIM Inference Microservices: Microsoft Azure AI will benefit from NVIDIA NIM inference microservices, which are part of the NVIDIA AI Enterprise software platform. These microservices optimize AI deployments and offer prebuilt, performance-optimized containers powered by NVIDIA AI Enterprise inference software. Developers can leverage these microservices to speed up the development of AI applications.
Through this collaboration, Microsoft Azure and NVIDIA are poised to shape the future of AI. With their combined expertise, they are driving transformative changes across various industries and unlocking the full potential of artificial intelligence.
FAQs
1. What is Microsoft Azure?
Microsoft Azure is a cloud computing platform and service provided by Microsoft. It offers a wide range of cloud services, including those for computing, analytics, storage, and networking. Azure allows organizations to build, deploy, and manage applications and services through Microsoft-managed data centers.
2. What is NVIDIA?
NVIDIA is a leading technology company known for its graphics processing units (GPUs) and AI computing capabilities. Their GPUs are widely used in various industries, including gaming, data centers, and AI research. NVIDIA is at the forefront of AI innovation and provides hardware and software solutions to accelerate AI workloads.
3. How will the collaboration between Microsoft Azure and NVIDIA benefit customers?
The collaboration between Microsoft Azure and NVIDIA will bring significant advancements in AI infrastructure, healthcare and life sciences, industrial digitalization, and AI deployment. These developments will enable customers to leverage cutting-edge AI technologies, enhance productivity, and drive transformative changes in their industries.
4. Which industries will benefit from these advancements in AI?
The advancements in AI resulting from the collaboration between Microsoft Azure and NVIDIA will have a broad impact across various industries. Healthcare and life sciences, manufacturing, design, and simulations are some of the sectors that will benefit from these technological advancements.
5. How can developers leverage NVIDIA-powered AI technologies on Microsoft Azure?
Developers can leverage NVIDIA-powered AI technologies on Microsoft Azure by utilizing services such as Azure AI, NVIDIA Clara, and Triton Inference Server. These services provide the necessary tools and infrastructure to develop, deploy, and optimize AI applications on the cloud. The integration of NVIDIA AI technologies with Microsoft Azure enables developers to take full advantage of the power of AI in their projects.
Microsoft Corp. and NVIDIA have partnered to bring advancements in artificial intelligence (AI) to the market. By integrating NVIDIA’s generative AI and Omniverse technologies, Microsoft aims to provide comprehensive AI platforms and tools to its customers. This collaboration is set to revolutionize the AI landscape and drive new benefits and productivity gains for organizations worldwide.
One of the key developments resulting from this partnership is the adoption of the NVIDIA Grace Blackwell GB200 processor and advanced networking technology in Microsoft Azure. This powerful processor enables the development of cutting-edge trillion-parameter foundation models for AI applications like natural language processing, computer vision, and speech recognition.
Microsoft is also announcing the general availability of Azure NC H100 v5 VM, based on the NVIDIA H100 NVL platform. These virtual machines are designed for midrange training and inferencing, offering flexibility and scalability with NVIDIA Multi-Instance GPU technology.
The collaboration between Microsoft and NVIDIA extends to the healthcare and life sciences sectors. By leveraging Microsoft Azure, NVIDIA DGX Cloud, and the NVIDIA Clara suite of microservices, healthcare providers, pharmaceutical and biotechnology companies, and medical device developers can innovate rapidly in clinical research and care delivery, leading to improved efficiency.
Additionally, Microsoft Azure will be the first platform to offer NVIDIA Omniverse Cloud APIs, allowing developers to enhance data interoperability collaboration and enable physics-based visualization in their software applications. This advancement will have a significant impact on industrial design and simulation tools, providing real-time insights and accelerating production processes.
NVIDIA GPUs and the Triton Inference Server will play a crucial role in AI inference predictions through Microsoft Copilot, enhancing creativity, productivity, and skills. Microsoft Azure AI will also benefit from NVIDIA NIM inference microservices, optimizing AI deployments with prebuilt, performance-optimized containers.
Overall, the collaboration between Microsoft Azure and NVIDIA is set to shape the future of AI by driving transformative changes across various industries and unlocking the full potential of artificial intelligence.
To learn more about Microsoft Azure and NVIDIA, you can visit their official websites:
The source of the article is from the blog scimag.news