Engineering Simulations at Your Fingertips, in the Azure Cloud An Azure/UberCloud Sales Guide Wolfgang.Gentzsch@TheUberCloud.com For Use by Microsoft Sales
Benefits of HPC* as a Service flexible - on-demand - user-friendly 1 2 3 4 Right-Sized Faster Time End User in Enables New Infrastructure to Solution Control Use Cases *) HPC = High Performance Computing
HPC as a Service Success Criteria Expertise Hardware Success Software Microsoft ’ s focus is UberCloud ’ s Microsoft & Customer-phasing building the High software packaging UberCloud have fully automated Performance deep experience in self-service technology makes Enterprise Cloud your CAE software CAE Applications and Azure/UberCloud Platform – Azure available on Azure the Cloud CAE Cloud Platform For Use by Microsoft Sales
Azure UberCloud Solution UberCloud ’ s software packaging technology makes CAE software UberCloud available on Azure Containers H-Series Azure High Performance N-Series Enterprise Cloud Platform Microsoft ’ s focus is the InfiniBand & GPU High Performance Enterprise Cloud Platform – Azure For Use by Microsoft Sales
Key Benefits Azure UberCloud: Works Like a Desktop, only Much Faster Usability, Flexibility, Performance • Desktop like user experience 1 Full desktop user interface for ease of use • Ease of uses eliminate training needs • Software is fully installed and ready to use, including pre/post processing, meshing, 2 Pre and post-processing on Azure solvers, Intel MPI for parallel processing • Cluster sizes are flexible and can be scaled up 3 and down based on analysis requirements Flexible cluster sizing • Shared storage can be sized based on needs • GPU, Infiniband and SSD, support is available 4 Flexible licensing • Hourly licensing (PoD) is supported. For Use by Microsoft Sales
For Azure sales: How do I find out if my Microsoft customer needs or already uses HPC? Contact your accounts in manufacturing, get in touch with your direct contact there, and ask the following questions: Is your company developing and selling products? Does your company design and develop these products itself, in-house? Do you have an R&D department (or an engineer) doing the product design (e.g. with CAD)? If you got 3 “ Yes “ , then ask your direct contact: “ Please introduce me to the head of this R&D department. “ After you have identified the R&D department head or the design engineer, get in touch and ask the following questions: Do you run engineering simulations? Just on workstations or also on HPC servers? Which technical computing software do you currently use for your product simulations? How many product design and simulation engineers do you have? Do you have the in-house expertise to stand up and manage an HPC system? What would be the impact to your business if you ran many simulations at once? Or much finer geometries, or more detailed physics? If you got several ” Yes ” , then ask: “ Can we inform you about Azure Cloud? Are you interested in a demo? ” For Use by Microsoft Sales
First High-Level Classification: HAVE ’ s vs HAVE NOT ’ s All simulation engineers have a desktop workstation. Some have also access to HPC servers, but many others have not. The HAVE NOT ‘ s The HAVE ‘ s • HAVE NOT simulation engineers have just • Owning an HPC cluster supported by an a desktop workstation • Not owning nor access to an in-house HPC support team which • HPC is part of enterprise IT services, or shared HPC cluster • No HPC middleware tools, e.g. schedulers part of the research / engineering team • No central HPC support organization, no • Many user can share this HPC system • HPC system has a scheduler (Grid HPC budget • HAVE NOTS are not necessarily smaller Engine, PBS, LSF, Slurm) • Schedulers can often automatically ‘ burst ’ organizations (org size is not a criteria) • Engineers have to manually burst to the into the cloud cloud For Use by Microsoft Sales
Asking the Right Questions to HAVE ’ s and HAVE NOT ’ s All simulation engineers have a desktop workstation. Some have also access to HPC servers, but many others have not. You are talking to a HAVE customer if he You are talking to a HAVE NOT customer if answers YES to these questions: he answers YES to these questions: • Do you have access to a shared in-house • Your simulation engineers purchase or HPC server with several compute nodes? manage their own workstations? • Do you have a centralized HPC support • Do individual departments make their own team? computing purchase decisions? • Do you use scheduling / middleware tools • Are most of your users using simulation to manage your cluster & jobs? software interactively, just on their desktop, • Have you automated HPC runs with most through a graphical user interface? workloads batch oriented? For Use by Microsoft Sales
Azure Value Proposition for HAVE ’ s and HAVE NOT ’ s All simulation engineers have a desktop workstation. Some have also access to HPC servers, but many others have not. The HAVE ‘ s The HAVE NOT ‘ s • Lower the barrier to HPC • Burst to the Azure cloud for additional • Increased collaboration compute capacity • Leverage flexibility in HPC platforms, • Improved Total Cost of Ownership (TCO) • Implement a Green Agenda compute models and cost • Enhanced Security Microsoft partners provide, in addition: • No need to learn anything new Microsoft partners provide, in addition: • HPC Expertise • HPC Expertise • Proof of Concept • Proof of Concept and ROI • Production-ready • Production-ready • Expert engineering, Cloud, HPC Support • Expert engineering, Cloud, HPC Support For Use by Microsoft Sales
Azure HPC Customer Profile Form After you have found out that your account is performing engineering simulations, and you have identified the right contact within this group please fill in the following HPC customer profile form and send it to the Azure Black Belt group email alias. Company name, company size, department, group, contact person and position How many experts in the R&D department / group are doing simulations? Which major application software packages are used in your group / department? Software A: name, type and number of licenses (seat, floating, cloud) Software B: name, type and number of licenses (seat, floating, cloud) Software C: name, type and number of licenses (seat, floating, cloud) In-house developed software: name, type Which computing resources are you using (workstations, server, cloud)? Which are your major simulation challenges (computer is too slow, not enough memory, too many simulations (many parameter studies, design optimization), long wait queues in your server, etc...)? What would you like to improve (more software licenses, more compute power, bursting in the cloud for higher demands, . . .)? How can Azure/UberCloud help?
Additional Documentation for Azure HPC Customers ● Big Compute: HPC & Batch – Large-scale cloud computing power on demand: https://azure.microsoft.com/en-us/solutions/big-compute/ ● Engineering Simulation on Azure: https://simulation.azure.com/ ● UberCloud-Azure integrated on-demand CAE offers on the Azure Marketplace: https://azuremarketplace.microsoft.com/en-us/marketplace/apps?search=ubercloud&page=1 ● Azure UberCloud case studies: ABB: https://simulation.azure.com/casestudies/Team-182-ABB-UC-Final.pdf CFD Support: https://customers.microsoft.com/en-us/story/expanding-customers-computational-horizons HSR: https://www.hsr.ch/fileadmin/user_upload/iet.hsr.ch/Downloads/Team_189_Henrik_Wind_Turbine_final.pdf CAE Technology: https://customers.microsoft.com/en-us/story/cfd-setup-and-computational-time-cut-50-percent ● 80 case studies from CAE & Life Sciences, in UberCloud ’ s annual Compendium of Case Studies: Compendium 2013, Compendium 2014, Compendium 2015, Compendium 2016.
Thank You Wolfgang.Gentzsch@TheUberCloud.com For Use by Microsoft Sales
Recommend
More recommend
