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Be a part of Microsoft Azure at NVIDIA GTC developer convention 2022 | Azure Weblog and Updates


The convergence of HPC+AI has opened new pathways for firms and builders worldwide to develop modern, transformative purposes. Whereas this presents a plethora of recent enterprise alternatives in fields like tutorial analysis, local weather modeling, and vitality sustainability, in addition they push the boundaries of compute, information, and course of capabilities of the underlying infrastructure to allow them to carry out the way in which they had been meant.

Microsoft Azure is dedicated to offering these capabilities via a continuing enchancment cycle that includes the latest and quickest processors into the cloud. This spring, NVIDIA GTC will illustrate that dedication intimately, showcasing NVIDIA’s accelerated computing capabilities powering assets on Azure that spotlight our ongoing dedication to HPC+AI computing throughout the spectrum of edge, on-premises, and the cloud, whereas extending information safety and privateness capabilities to fulfill buyer and enterprise information wants.

Register for NVIDIA GTC, operating March 21 via 24, 2022.

Get an opportunity to win an NVIDIA Jetson Nano

Two of our classes provide the likelihood to win a SWAG field, full with an HPC t-shirt and Jetson Nano developer equipment. Attend these classes and don’t overlook to search for the particular hyperlink to enter!

Supercomputer Efficiency, Meet Cloud Versatility.

Nidhi Chappell, Head of Product, Azure HPC/AI Microsoft; John Montgomery, Company Vice President Program Administration, Azure AI- Microsoft,

Tuesday, March 22, 2022, 11:00 AM PDT.

The Azure HPC+AI platform permits a brand new period of modern purposes and companies that leverage the flexibility of the cloud with the ability of supercomputing efficiency. The convergence of HPC and AI is a revolution, bringing dramatic acceleration to each type of simulation, and advancing fields throughout science and trade. Whether or not you could scale to over 80,000 cores to your message passing interface (MPI)-based workloads, or you’re on the lookout for AI supercomputing capabilities, Azure can help your wants with the entire versatility of the cloud. On this session, we are going to present an outline of the Azure HPC+AI platform reviewing current accomplishments, and canopy intimately how the Azure HPC+AI portfolio can help your accelerator workload wants starting from AI inferencing to deep studying and extra.

Unlocking New Potentialities for Privateness-Preserving Information Analytics with Azure Confidential Computing.

Mark Russinovich, Azure CTO and Technical Fellow, Microsoft; Ian Buck, Vice President and Common Supervisor of Accelerated Computing, NVIDIA.

On this session, Microsoft Azure CTO and Technical Fellow Mark Russinovich and NVIDIA Information Middle VP Ian Buck focus on how Microsoft and NVIDIA are partnering collectively to combine the most recent GPU know-how with Azure confidential computing to assist clients course of massive information workloads akin to AI and machine studying, multi-party analytics, and 3D rendering whereas protecting information non-public and safe. At the moment, there isn’t any comparable providing within the market, and Azure is driving first to market with this game-changing know-how in our quest to be essentially the most safe cloud.

Preserving privateness with confidential computing

Organizations throughout industries are going via a significant AI-led disruption. For instance, in healthcare, hospitals, prescribed drugs, and researchers are leveraging AI to speed up analysis, refine diagnostics, and enhance drug discovery and growth. But, the democratization of AI is proscribed by issues relating to share and use of non-public information. For instance, banks are sometimes unable to collaborate on crucial duties akin to fraud and cash laundering detection.

Microsoft has pioneered a number of privacy-preserving applied sciences akin to homomorphic encryption, confidential computing, and differential privateness to deal with these challenges.

Be a part of us at NVIDIA GTC to be taught extra about find out how to unlock new prospects for privacy-preserving information analytics with Azure confidential computing to assist course of massive information workloads akin to AI and machine studying, multi-party analytics, and 3D rendering, whereas protecting information non-public and safe. Study how confidential GPUs supply excessive effectivity and confidentiality and the way clients and organizations internationally profit from it.

For extra details about the most recent on Azure confidential computing: take a look at our web site, technical documentation, and blogs.

Reworking AI and machine studying on the edge

In keeping with IoT Alerts, IoT and AI adoption isn’t slowing down with 90 p.c of adopters stating that IoT is crucial to their success and 79 p.c of companies indicating they had been efficiently adopting AI inside their IoT options with high causes together with predictive upkeep at 67 p.c and prescriptive upkeep at 65 p.c. Moreover, 56 p.c of organizations are combining AI and IoT to create a greater consumer expertise.

Nonetheless, on the identical time, 46 p.c of companies with AI methods are struggling to get their initiatives previous the proof-of-concept stage as a result of technical challenges and complexity. By shifting AI, analytics, and logic to edge units, edge computing may help remedy velocity, latency, safety, and reliability challenges inside AI and IoT purposes.

At NVIDIA GTC, be taught extra about how Nvidia and Microsoft are working collectively to Rework AI and machine studying on the Edge leveraging the ability of the GPU on the edge mixed with Azure AI and IoT companies. Study accelerating AI and IoT options with Azure Percept, Azure Stack HCI, and different Azure IoT companies.

For extra info take a look at NVIDIA + Microsoft Accelerated Edge AI webpage.

NVIDIA DLI Coaching Powered by Azure

We’re proud to host NVIDIA’s Deep Studying Institute (DLI) coaching at NVIDIA GTC once more this 12 months, with instructor-led workshops round accelerated computing, accelerated information science, and deep studying.  Hosted on Microsoft Azure, these classes allow and empower you to leverage NVIDIA GPUs on the Microsoft Azure platform to resolve the world’s most attention-grabbing and related issues. Register for a DLI workshop as we speak.

Register for the NVIDIA GTC digital event and access fre DLI 2-hour technical workshops

Microsoft clients remedy complicated issues with Azure and NVIDIA GPUsSensyne Health logo

Sensyne Well being aids Nationwide Well being Service within the COVID-19 battle with Microsoft HPC and AI applied sciences.

Within the midst of COVID-19 the necessity for a solution to get quicker check outcomes, Sensyne Well being developed its MagnifEye answer, a cell app that makes use of a tool’s digital camera to seize the lateral stream check (LFT) stick picture and skim it in tenths of seconds with a surprising 99.6 p.c accuracy charge.

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