Roundup of AI breakthroughs by Microsoft and NVIDIA

In terms of AI developments, 2022 proved to be a banner year. AI production and usage increased and both deep learning and machine learning models steadily conquered increasingly complex problems. But AI evolution goes beyond impressive production and adoption levels to include breakthroughs in new computing methods, applications, and mega-scale supercomputers. Two of the leaders in this space are Microsoft Azure and NVIDIA and here are some of their most noteworthy achievements this year.

Massive cloud AI supercomputer for mega-sized AI models

The two computing giants are collaborating to provide one of the most powerful AI supercomputing platforms in the world. Powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking, and the full stack of AI software, this cloud supercomputer will help enterprises train, deploy, and scale AI, including large, state-of-the-art models.

Azure is the first public cloud to incorporate NVIDIA’s advanced AI stack, adding tens of thousands of NVIDIA A100 and H100 GPUs, NVIDIA Quantum-2 400Gb/s InfiniBand networking, and the NVIDIA AI enterprise software suite to its platform.

This effort isn’t limited to spinning up better outputs in lean times—there’s also the need to advance knowledge and discoveries to benefit all of mankind’s endeavors and needs. All told, it’s an impressive AI system that performs at scales rarely imagined to be possible.

A quantum leap for AI-fueled scientific discoveries

AI can do far more than traditional data mining and advanced analytics. AI is dramatically changing scientific methods, handling complexities that a human mind cannot comprehend.

At Supercomputing 2022 (SC22), NVIDIA announced broad adoption of its next-generation H100 Tensor Core GPUs and Quantum-2 InfiniBand, including new offerings on Microsoft Azure cloud and over 50 new partner systems for accelerating scientific discovery.

H100 and Quantum-2 are part of NVIDIA’s high-performance computing (HPC) platform—a full technology stack with CPUs, GPUs, DPUs, systems, networking, and a broad range of AI and HPC software—that provides researchers the ability to efficiently accelerate their work on powerful systems, on-premises or in the cloud.

Microsoft Azure will be the first to offer NVIDIA Quantum-2 for HPC Workloads, providing a world-class supercomputing cloud infrastructure that allows researchers and scientists using Azure to achieve their life’s work.

Innovation is the lifeblood of all industries and this Microsoft Azure and NVIDIA breakthrough puts it at the fingertips of all users.

AI brings medical imagery diagnostics into sharper focus

A powerful collaboration between Microsoft Azure, NVIDIA, and the Nuance Precision Imaging Network puts AI-based medical image diagnostic tools directly into the hands of radiologists and other clinicians. This enables the capture of economies at scale, meaning patient care improves while costs drop.

A powerful collaboration between Microsoft Azure, NVIDIA, and the Nuance Precision Imaging Network puts AI-based medical image diagnostic tools directly into the hands of radiologists and other clinicians. This enables the capture of economies at scale, meaning patient care improves while costs drop. 

Powered by Microsoft Azure, the Nuance Precision Imaging Network provides access to an entire ecosystem of AI-powered tools and insights within clinical workflows to more than 12,000 healthcare facilities and the 80 percent of U.S. radiologists who use Nuance's PowerScribe radiology reporting and PowerShare image sharing solutions1. 

Mass General Brigham will be among the first to accelerate end-to-end AI model development and deployment in clinical workflows on the Nuance Precision Imaging Network.

Wrapping up the roundup

Azure collaborates with Hazy Research and NVIDIA to achieve unmatched MLPerf results. Azure-Hazy Research is the only submitter that reached below the 2-minute mark with BERT on 16 virtual machines.
Azure scales 530B Parameter GPT-3 Model with NVIDIA NeMo Megatron. Combining NVIDIA NeMo Megatron with Azure AI infrastructure offers a powerful platform that anyone can spin up in minutes without having to incur the costs and burden of managing their own on-premises infrastructure.
Azure and NVIDIA scored Top500 and Green500 ranking for AI purpose-built infrastructure
HPCwire bestowed Microsoft Azure and NVIDIA top awards in Best Use of HPC in Financial Services Editors’ Choice, Best AI Product or Technology—Readers’ Choice, and Best Use of High-Performance Data Analytics & Artificial Intelligence.
At Supercomputing 2022, Nidhi Chappell, General Manager, Microsoft Azure HPC + AI, and Ian Buck, VP/General Manager Hyperscale and HPC Computing, NVIDIA discussed game changers in AI and cloud infrastructure. And NVIDIA founder and CEO Jensen Huang shared the latest news, innovations, and technologies in NVIDIA’s SC22 Special Address.

Stay tuned for our 2023 advancements

Keep up to date with Microsoft and NVIDIA. Visit our HPCwire Solution Channel.

 

 

Sources: NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer, NVIDIA news, November 16, 2022.
 
Quelle: Azure

Azure Red Hat OpenShift for Microsoft Azure Government—now generally available

Today we’re pleased to announce the general availability of Azure Red Hat OpenShift on Microsoft Azure Government. With this release, we are combining world-class Azure infrastructure with a leading enterprise Kubernetes platform as a jointly operated and supported service for Azure Government customers to run their containerized workloads in production.

Azure Red Hat OpenShift (ARO) on Azure Government enables compliance with strict government regulations and certifications, such as FedRAMP and CJIS, which makes it a secure and compliant option for running containerized workloads at production scale. Agencies can take advantage of the stringent security and compliance features of Azure Government and leverage the flexibility and scalability of OpenShift.

Azure Red Hat OpenShift for Azure Government includes key IT security and regulatory certifications, including:

FedRAMP High Authorization.
International Traffic in Arms Regulations (ITAR).
Defense Federal Acquisition Regulation Supplement (DFARS).
Internal Revenue Service (IRS) 1075 forms.
Criminal Justice Information Services (CJIS).

As a managed service, Azure Red Hat OpenShift also offers several benefits for agencies looking to innovate, including:

Scalability: OpenShift provides automatic scaling, self-healing, and rolling updates, which help to ensure that applications can handle increased loads and recover from failures quickly.
Flexibility: OpenShift allows developers to use their preferred languages, frameworks, and tools to build and deploy containerized applications, making it easy to work with existing applications and technologies.
Enterprise-grade management: OpenShift provides a centralized management console, role-based access control, and built-in monitoring and logging, making it easy for IT teams to manage and troubleshoot containerized applications.
Interoperability: Azure Red Hat OpenShift runs on top of Azure and integrates with other Azure services, such as Azure Database for PostgreSQL, Azure Cosmos DB, and Azure Virtual Network, making it easy to build and deploy applications that leverage the full range of Azure services.
Support: Azure Red Hat OpenShift is a jointly managed product, which means that it is supported by both Microsoft and Red Hat, providing customers with access to the expertise and resources of both companies.

Launched in 2019, Azure Red Hat OpenShift was the first codeveloped, jointly operated Red Hat OpenShift service on the public cloud, offering a powerful on-ramp to the hybrid cloud by extending the same enterprise-grade Kubernetes used in private datacenters to the scale of Microsoft Azure.

Get started with Azure Red Hat OpenShift

Kickstart your Azure Red Hat OpenShift journey in Azure Government.
Check out our documentation and the tutorial on how to create an Azure Red Hat OpenShift 4 cluster.
Stay in touch with us on our GitHub and follow our roadmap.
Connect with us on Q&A, we would love to hear from you.

Quelle: Azure