Prospects world wide depend on Microsoft Azure to drive improvements associated to the environment, public well being, power sustainability, climate modeling, financial development, and extra. Discovering options to those necessary challenges requires big quantities of centered computing energy. Prospects are more and more discovering the easiest way to entry such high-performance computing (HPC) is thru the agility, scale, safety, and forefront efficiency of Azure’s purpose-built HPC and AI cloud companies.

Azure’s market-leading imaginative and prescient for HPC and AI is predicated on a core of real and acknowledged HPC experience, utilizing confirmed HPC expertise and design rules, enhanced with the most effective options of the cloud. The result’s a functionality that delivers efficiency, scale, and worth in contrast to some other cloud. This implies functions scaling 12 instances increased than different public clouds. It means increased utility efficiency per node. It means powering AI workloads for one buyer with a supercomputer match to be among the many prime 5 on the earth. And it means delivering huge compute energy into the arms of medical researchers over a weekend to show out life-saving improvements within the battle towards COVID-19.

Massive moments for Azure HPC and AI Supercomputing in 2020


Final 12 months, you may recall that Microsoft entered into a strategic partnership with OpenAI. Earlier this 12 months, OpenAI launched their first utility programming interface (AP)I for his or her general-purpose language mannequin, Generative Pre-trained Transformer 3 (GPT-3), giving builders entry to superior pure language processing (NLP) applied sciences for constructing extra interactive functions and companies. Shortly thereafter, OpenAI introduced it has agreed to license its GPT-Three expertise to Microsoft to make use of inside its personal services and products.

This may proceed to supply builders and scientists new means to not simply rework their organizations however to take action sooner and with much less disruption. It was additionally introduced that Microsoft has deployed devoted cloud supercomputing functionality for OpenAI, similar to the highest 5 supercomputers on the earth.

Read the blog here.

Duke College

PlceholderDwelling with a pandemic causes folks to be intelligent about creating new options. Ventilators have change into a scarce useful resource because the COVID-19 pandemic spreads world wide. Professor Randles and her staff at Duke University rushed to discover a secure and straightforward strategy to successfully break up a single ventilator between two sufferers. They partnered with Microsoft AI for Health to run over 800,000 pc hours in simply 36 hours to construct a life-saving resolution.

Watch the video here.

COVID Moonshot

PlaceholderUCB transforms the lives of individuals residing with extreme ailments. They’ve been collaborating with biopharma, tech corporations, chemical distributors, and particular person contributors on the COVID Moonshot initiative, which is aimed toward growing options to the COVID-19 pandemic. As quickly as help and partnership with Microsoft was granted, the productiveness of their groups went by the roof. By utilizing Azure, they may now do in three days what would have taken six months. This computational horsepower mixed with UCB Medicinal Chemistry efforts has helped transfer ahead their analysis into their efficacy towards COVID-19.

Watch the video here.

Earlier 2020 Azure HPC and AI product launches

Azure HBv2 HPC clusters with over 80,000 AMD “Rome” cores and low latency InfiniBand interconnect.

Azure’s HBv2 HPC clusters have been a gamechanger for HPC prospects. These true HPC cloud computing merchandise imply the biggest workloads can now run on the Azure cloud. Many firsts have been achieved with HBv2, comparable to the primary cloud to ship over 80,000 cores for a single tightly coupled MPI utility.

“In the world of Computational Fluid Dynamics (CFD), there is constant pressure to accelerate the speed of product design and today, our customers are looking turn around high-fidelity simulations in hours, not weeks. Running Simcenter STAR-CCM+ on the latest Microsoft Azure HBv2 series has enabled our customers to scale-up their simulations quickly and easily without expensive hardware investment or compromising solution fidelity. Our customers get the same performance and scaling as on-premises at lower cost, enabling them to make better engineering decisions faster.”—Keith Foston, Senior Product Supervisor, Simcenter STAR-CCM+, Siemens

Azure NVv4 Digital Machines.

Azure NVvv4 Digital Machines are an excessive alternative in worth and efficiency on your visualization wants.

“The range of the brand new AMD-based Workspot cloud desktops on Microsoft Azure is a big deal for us.  Based mostly on the applying necessities of every engineer, we are able to dedicate all or a fraction of the AMD GPU to their Workspot workstation on Azure.  This finer decision of management offers us the monetary edge we have to take away extra folks to Workspot cloud desktops on Azure and enhance our general productiveness.”Eric Quinn, CTO at C&S Firms

Azure NDv2 HPC and AI clusters with NVIDIA V100 Tensor Core GPUs.

Azure NDv2 GPU clusters are designed for essentially the most demanding distributed HPC, AI, and machine studying workloads. Azure NDv2 GPU clusters with Riskfuel technology offer risk calculations 20 million times faster valuation of derivatives.

“The current market volatility demonstrates the need for real-time valuation and risk management for OTC derivatives. The era of the nightly batch is ending. And it’s not just the blazing fast inferencing of the Azure ND40rs_v2 Virtual Machine that we value so much, but also the model training tasks as well. On this fast GPU instance, we have reduced our training time from 48 hours to under four! The reduced time to train the model coupled with on-demand availability maximizes the productivity of our AI engineering team.”—Ryan Ferguson, CEO, Riskfuel

New Azure management unveiled at Supercomputing 2020 (SC20)

Delivering actual AI supercomputing to prospects with A100 Tensor Core GPUs and NVIDIA Mellanox HDR 200Gb/s InfiniBand networkingPlaceholder

Microsoft is proud to be among the many first to ship the ability of NVIDIA’s A100 Tensor Core GPU to AI prospects with the newly introduced public preview of NDv4 A100 Digital Machine.

Azure on the forefront of AMD EPYC “Milan” CPUs for HPC prospects

PlaceholderMicrosoft and AMD are delighted to announce that Azure can be on the forefront of bringing AMD’s third Technology EPYC “Milan” processor to HPC prospects.

Azure HPC Collaboration Heart Program

We’re additionally saying the launch of the Azure HPC Collaboration Heart Program. This system will associate with industry-recognized consultants to check the boundaries of the Azure HPC and AI Platform, share technical successes, doc greatest practices, and showcase associate capabilities. Fostering a robust associate ecosystem is a core ethos of Microsoft’s strategy to HPC and AI. The seed funding and shut collaboration beneath this program is a key part of delivering these advantages to our HPC and AI prospects and the broader neighborhood. Look out throughout SC20 week for bulletins of the primary Azure HPC Collaboration Facilities.

Accomplice merchandise and actions unveiled at SC20


Azure HBv2 clusters for Compute Intensive workloads now usually obtainable by way of Rescale.

Rescale eliminates complexity to allow organizations to speed up science and engineering breakthroughs, with clever full-stack automation for large compute and the big scale energy of cloud HPC. From supersonic jets to personalised medication, {industry} leaders speed up new product improvements with unprecedented velocity and effectivity with the Rescale platform on Azure—an answer for clever full-stack automation for large compute and analysis and growth collaboration. Azure’s HBv2 clusters that are optimized for HPC workloads at the moment are usually obtainable on the Rescale platform each as on-demand and as spot situations. Rescale can be obtainable by Azure Market for seamless analysis and buy.

You will discover more information here, or contact [email protected].

Mentor Graphics

Mentor Graphics launches SystemVision in Azure.

Mentor, A Siemens Business affords a sophisticated digital circuit design and simulation setting that allows each engineers and digital part producers to collaborate on a stage that was beforehand not doable. The corporate makes use of the Microsoft Azure platform to deploy SystemVision Cloud to customers world wide, accessible by way of an internet browser, with nothing to put in. Now not restricted to static photographs and PDF paperwork, digital part producers can now showcase their complicated digital elements by way of reside, interactive reference designs embedded on their very own internet properties. Everybody from digital part consultants to system architects can work collectively on circuit design and evaluation from anywhere in the world on SystemVision.

“Microsoft Azure offered us a stage of efficiency and platform help that enabled us to ship SystemVision Cloud to our prospects with a considerably diminished time to market.”—Adam Cabler, Cloud Architect, Digital Board Programs, Mentor A Siemens Enterprise

Study extra about Azure HPC and AI from the consultants

Be part of us at Supercomputing 2020 to study extra about Azure HPC and AI

We are going to characteristic audio system in SC20 digital periods, present hyperlinks to downloads, case research, blogs, and extra Azure HPC movies. Please cease by our digital sales space to speak with us. We’d love to listen to from you.

  • Azure HPC and AI: The fact—hear learnings and views from a acknowledged chief of the HPC neighborhood, ex-Cray CTO Steve Scott, now Technical Fellow and Company VP at Microsoft.
  • Azure AI Supercomputing: See how highly effective AI companies on Azure are dramatically growing the worth of conventional HPC outcomes. Uncover what “AI at Scale” means with Chris Berner from OpenAI, and learn the way the brand new NDv4 A100 Azure GPU clusters can empower your improvements.
  • Azure Excessive-Efficiency Computing: Azure HPC isn’t working HPC within the cloud—it’s a cloud that has been purpose-built for HPC. Study record-breaking efficiency outcomes on the main applied sciences and fashionable environments. Get a full understanding of what the Azure HPC can give you instantly from the product consultants themselves, together with in-depth protection of compute, storage, networking, companies, and AI sources.
  • Utilizing quantum-inspired algorithms to unravel issues on right this moment’s classical high-performance computing programs offers us a view of what could also be doable in a future with scaled quantum computing. We’re getting nearer to that aim with a brand new venture born out of Microsoft’s partnership with Pacific Northwest Nationwide Laboratory (PNNL) within the Quantum Science Heart.

Further hyperlinks

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