Azure NVIDIA Cloud Computing for AI Applications

Azure NVIDIA Cloud Computing for AI Applications is a powerful combination that's revolutionizing the way we approach artificial intelligence. This partnership brings together the scalability of Azure with the performance of NVIDIA's GPUs, making it an ideal solution for AI workloads.

With Azure NVIDIA Cloud Computing, you can expect significant performance boosts for tasks like deep learning, natural language processing, and computer vision. NVIDIA's Tesla V100 and Tesla P40 GPUs are supported, offering up to 12 GB of memory and 15 GB/s of memory bandwidth.

This means you can run complex AI models faster and more efficiently, without breaking the bank. In fact, Azure NVIDIA Cloud Computing can reduce the cost of AI workloads by up to 90% compared to traditional on-premises solutions.

Microsoft has partnered with NVIDIA to create the Azure N-Series Virtual Machines (VMs), making GPU computing accessible to users worldwide. This partnership is a game-changer for those who need high-performance computing.

The Azure N-Series VMs are optimized to offer the highest possible performance in the public cloud, thanks to NVIDIA's expertise. With over 400 industry applications accelerated by NVIDIA GPUs, this partnership is serving the world's most demanding users.

Microsoft and NVIDIA are powering amazing experiences in simulation, artificial intelligence, and professional visualization. This is a huge step forward for the tech industry.

For users who want to take advantage of this technology, Microsoft is offering the option to register their interest in the Azure + NVIDIA GPU powered N-Series VMs at http://gpu.azure.com.

The Azure N-Series VMs are available in Preview in the South Central US Region only. The plan is to expand into additional Azure regions over the next couple months.

You can choose from three tiers of N-Series VMs, each with a different configuration of NVIDIA Tesla K80 GPUs. The tiers are NC6, NC12, and NC24.

Each tier has a different number of CPU cores, with the NC6 tier having 6 cores, the NC12 tier having 12 cores, and the NC24 tier having 24 cores.

The NC6 tier has 1 x K80 GPU, the NC12 tier has 2 x K80 GPUs, and the NC24 tier has 4 x K80 GPUs.

The memory and storage options for each tier are also different. The NC6 tier has 56 GB of memory and 380 GB of storage, the NC12 tier has 112 GB of memory and 680 GB of storage, and the NC24 tier has 224 GB of memory and 1.44 TB of storage.

Here's a summary of the N-Series VM tiers:

The NV-Series VMs, on the other hand, will provide more visualization-focused GPU power, powered by NVIDIA Tesla M60 GPUs and NVIDIA GRID.

The NVIDIA Omniverse platform is now available as a set of APIs running on Microsoft Azure, enabling customers to embed advanced graphics and visualization capabilities into existing software applications.

This integration work is done seamlessly by NVIDIA Omniverse Cloud APIs on Azure, giving customers physically based rendering capabilities on the front end.

Customers across industries can now embed massive graphics and visualization capabilities into their software applications thanks to the new Omniverse APIs.

These APIs are built on OpenUSD, a universal data interchange, which makes it easy to combine the physical and digital worlds for increased productivity and efficiency.

Microsoft and NVIDIA have been working with Rockwell Automation and Hexagon to demonstrate the value of these APIs in combining the physical and digital worlds for increased productivity and efficiency.

With NVIDIA Omniverse Cloud APIs on Azure, customers can now combine the physical and digital worlds to increase productivity and efficiency, as shown by the collaboration between Microsoft, NVIDIA, Rockwell Automation, and Hexagon.

Azure is getting a major boost with the integration of NVIDIA's advanced technologies. Microsoft has committed to bringing GB200-based instances to Azure, making it one of the first cloud platforms to deliver on this cutting-edge technology.

This means Azure customers will have access to state-of-the-art AI solutions that can handle massive amounts of data and complexity. Azure's end-to-end AI platform, which includes services like Azure CycleCloud and Azure Machine Learning, will be even more powerful with the addition of GB200 Superchip.

Azure customers will be able to use the new instances to create and deploy AI solutions that accelerate time to market. This is especially important for industries like natural language processing, computer vision, and speech recognition, where speed and efficiency are crucial.

The integration of NVIDIA DGX Cloud with Microsoft Fabric is another exciting development. This partnership will allow customers to power their most demanding data workloads with ease, using NVIDIA's workload-specific optimized runtimes and machine learning capabilities.

Microsoft is leading the way in AI advancements with its partnership with NVIDIA.

Microsoft Azure is the first cloud platform to integrate NVIDIA's GB200 chip servers, driving cloud innovation and optimizing every layer of its technology to support the world's most advanced AI models.

The partnership between Microsoft and NVIDIA has been a long-standing one, with Satya Nadella highlighting their collaborative innovation that continues to drive industry leadership and support the most complex AI workloads.

Microsoft and NVIDIA are also working together on the Grace Blackwell 200 Superchip, a new processor designed for large-scale generative AI workloads, data processing, and high-performance workloads.

The GB200 Superchip features up to 16 TB/s of memory bandwidth and up to 30 times the inference on trillion-parameter models relative to the previous Hopper generation of servers.

Microsoft is expanding its collaboration with NVIDIA to help transform the healthcare and life sciences industry through the integration of cloud, AI, and supercomputing.

The integration of NVIDIA's DGX Cloud and Microsoft Fabric will power customers' most demanding data workloads, providing seamless integration of NVIDIA's workload-specific optimized runtimes, LLMs, and machine learning with Fabric.

Microsoft Azure will be one of the first cloud platforms to deliver on GB200-based instances, supporting customers and Microsoft's AI services with improved performance and scalability for cloud and AI workloads.

Azure customers will be able to use GB200 Superchip to create and deploy state-of-the-art AI solutions that can handle massive amounts of data and complexity, accelerating time to market.

Microsoft and NVIDIA are teaming up to bring advanced graphics and visualization capabilities to Azure through NVIDIA's Omniverse platform. This platform will now be available as a set of APIs running on Microsoft Azure, enabling customers to embed massive graphics and visualization capabilities into existing software applications.

These APIs are built on OpenUSD, a universal data interchange, and do the integration work for customers, giving them seamless physically based rendering capabilities on the front end. This allows customers to combine the physical and digital worlds for increased productivity and efficiency.

Microsoft and NVIDIA have been working with Rockwell Automation and Hexagon to demonstrate the value of these APIs in real-world applications. The goal is to empower customers to achieve more across industries and domains by leveraging the power of AI graphics and visualization.

NVIDIA's Omniverse platform is designed to enable customers to create and share 3D content, and now it's being integrated into Azure to make it even more accessible and powerful. This integration will allow customers to take advantage of advanced graphics and visualization capabilities without having to worry about the underlying infrastructure.

By combining the strengths of Azure and NVIDIA, customers can expect improved performance and scalability for cloud and AI workloads. This will enable them to tackle complex challenges in industries such as manufacturing, healthcare, and education, and achieve more with their AI-enabled solutions.