Be a part of Microsoft Azure at NVIDIA GTC developer convention 2022
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 tutorial analysis, local weather modeling, and vitality sustainability, additionally they push the boundaries of compute, information, and course of capabilities of the underlying infrastructure to allow them to carry out the best way they have been supposed.
Microsoft Azure is dedicated to offering these capabilities by way of a continuous enchancment cycle that includes the most recent and quickest processors into the cloud. This spring, NVIDIA GTC will illustrate that dedication intimately, showcasing NVIDIA’s accelerated computing capabilities powering sources 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 satisfy buyer and enterprise information wants.
Register for NVIDIA GTC, working March 21 by way of 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 package. 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 progressive functions 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 business. Whether or not you want to scale to over 80,000 cores in your message passing interface (MPI)-based workloads, or you might be on the lookout 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 outline 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 Potentialities for Privateness-Preserving Information Analytics with Azure Confidential Computing.
Mark Russinovich, Azure CTO and Technical Fellow, Microsoft; Ian Buck, Vice President and Normal Supervisor of Accelerated Computing, NVIDIA.
On this session, Microsoft Azure CTO and Technical Fellow Mark Russinovich and NVIDIA Information Heart VP Ian Buck talk about how Microsoft and NVIDIA are partnering collectively to combine the most recent GPU know-how with Azure confidential computing to assist clients course of giant information workloads resembling AI and machine studying, multi-party analytics, and 3D rendering whereas holding information personal and safe. Presently, 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 by way of a serious AI-led disruption. For instance, in healthcare, hospitals, prescription drugs, and researchers are leveraging AI to speed up analysis, refine diagnostics, and enhance drug discovery and growth. But, the democratization of AI is restricted by considerations concerning share and use of private information. For instance, banks are sometimes unable to collaborate on essential duties resembling fraud and cash laundering detection.
Microsoft has pioneered a number of privacy-preserving applied sciences resembling 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 how you can unlock new potentialities for privacy-preserving information analytics with Azure confidential computing to assist course of giant information workloads resembling AI and machine studying, multi-party analytics, and 3D rendering, whereas holding information personal and safe. Find out about how confidential GPUs supply excessive effectivity and confidentiality and the way clients and organizations the world over profit from it.
For extra details about the most recent on Azure confidential computing: try our web site, technical documentation, and blogs.
Reworking AI and machine studying on the edge
In accordance with IoT Alerts, IoT and AI adoption isn’t slowing down with 90 % of adopters stating that IoT is essential to their success and 79 % of companies indicating they have 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 person expertise.
Nonetheless, on the identical time, 46 % of companies with AI methods are struggling to get their tasks previous the proof-of-concept stage as a result of technical challenges and complexity. By shifting AI, analytics, and logic to edge gadgets, edge computing may also help remedy 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 ability of the GPU on the edge mixed with Azure AI and IoT companies. Find out about accelerating AI and IoT options with Azure Percept, Azure Stack HCI, and different Azure IoT companies.
For extra data try 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 yr, 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 immediately.
Microsoft clients remedy advanced issues with Azure and NVIDIA GPUs
Sensyne Well being aids Nationwide Well being Service within the COVID-19 wrestle with Microsoft HPC and AI applied sciences.
Within the midst of COVID-19 the necessity for a method 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 browse it in tenths of seconds with a surprising 99.6 % accuracy charge.