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


The convergence of HPC+AI has opened new pathways for corporations and builders worldwide to develop progressive, transformative functions. Whereas this presents a plethora of recent enterprise alternatives in fields like educational analysis, local weather modeling, and power sustainability, additionally 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 by means of a continuing enchancment cycle that comes with 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, working March 21 by means of 24, 2022.

Get an opportunity to win an NVIDIA Jetson Nano

Two of our classes provide the probability to win a SWAG field, full with an HPC t-shirt and Jetson Nano developer equipment. Attend these classes and don’t neglect 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 progressive functions and providers that leverage the flexibility of the cloud with the facility of supercomputing efficiency. The convergence of HPC and AI is a revolution, bringing dramatic acceleration to each form of simulation, and advancing fields throughout science and business. Whether or not you should scale to over 80,000 cores to your message passing interface (MPI)-based workloads, or you might be searching for AI supercomputing capabilities, Azure can assist your wants with all the versatility of the cloud. On this session, we are going to present an summary of the Azure HPC+AI platform reviewing latest accomplishments, and canopy intimately how the Azure HPC+AI portfolio can assist your accelerator workload wants starting from AI inferencing to deep studying and extra.

Unlocking New Prospects for Privateness-Preserving Knowledge Analytics with Azure Confidential Computing.

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

On this session, Microsoft Azure CTO and Technical Fellow Mark Russinovich and NVIDIA Knowledge Middle VP Ian Buck focus on how Microsoft and NVIDIA are partnering collectively to combine the newest GPU expertise 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 retaining information personal and safe. At present, there isn’t any comparable providing within the market, and Azure is driving first to market with this game-changing expertise in our quest to be essentially the most safe cloud.

Preserving privateness with confidential computing

Organizations throughout industries are going by means of 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 improvement. But, the democratization of AI is proscribed by issues relating to share and use of private information. For instance, banks are sometimes unable to collaborate on vital 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 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 retaining information personal and safe. Study how confidential GPUs provide excessive effectivity and confidentiality and the way clients and organizations internationally profit from it.

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

Remodeling AI and machine studying on the edge

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

Nevertheless, on the identical time, 46 % of companies with AI methods are struggling to get their initiatives previous the proof-of-concept stage attributable to technical challenges and complexity. By shifting AI, analytics, and logic to edge gadgets, edge computing will help resolve velocity, latency, safety, and reliability challenges inside AI and IoT functions.

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

For extra data 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 at present.

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

Microsoft clients resolve 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 option to get quicker check outcomes, Sensyne Well being developed its MagnifEye answer, a cellular app that makes use of a tool’s digicam to seize the lateral move check (LFT) stick picture and skim it in tenths of seconds with a shocking 99.6 % accuracy charge.

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