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UberCloud Voice April 2016

Cloud Computing Best Practices for Engineering Simulation

Best PracticeIn this blog, Wim Slagter HPC & Cloud Marketing Director at ANSYS, shares some Lessons Learned and Key Takeaways from working with customers on simulations in the cloud. His eight “best practices” are: – Don’t Move the Data (More Than You Have to). – Remote Graphics & Graphics User Interface for End-to-End Simulation. – Secure Network Communications & Data Storage. – Effective End-User Access for Job & Data Management. – Re-Use On-Premise Licenses (or Not). – Consider a Mix of Business Models. – Match Your Cloud to Your HPC Workload. And, Start Small, Grow Organically… but Think Big. In his BLOG worth reading Wim is explaining these eight best practices in detail.

ANSYS Breakthrough ! New Pay Per Use Elastic Licensing for Simulations in any Cloud

ansys_logoCompanies around the world now have unprecedented flexibility to solve the toughest engineering and product challenges, thanks to the introduction of ANSYS Elastic Licensing. This new ANSYS pay-per-use licensing model unlocks the world’s broadest portfolio of engineering simulation software – enabling users to optimize license utilization while giving them license flexibility to meet the changing demands of their businesses. Offered alongside the traditional lease and paid-up models, as well as with cloud offerings, ANSYS Elastic Licensing  provides hourly-based access to the breadth of ANSYS’ multiphysics platform in a single license. Elastic licensing enables customers to size their paid-up or lease license pool to their typical workload, but make adjustments for occasional users to meet peak demands. See the announcement HERE.

FEM NEWS Interview with UberCloud Co-founder Wolfgang Gentzsch

200 x 150Pawel Dereszewski from femnews.pl interviewed Wolfgang Gentzsch. Questions:  Wolfgang, tell us something about yourself and your experience. You are already several years in the HPC industry, can you tell us how it began? Could you explain what exactly HPC is? When the HPC fascination started? What is the UberCloud?  What is the main company activity?  How does the UberCloud work?  What industries dominate in using HPC?  What more sectors could join HPC?  What tips can you give to users, who start their adventure with HPC?  What is the minimal requirement to join The UberCloud?  Why do you think analysis in cloud is the future?  Do you have something more to share with readers? Read the whole interview on femnews.pl.

Advanced Course: HPC and Cloud for Engineering, 6-10 June 2016, Pecs, Hungary

PecsOnce again the sucessful course on HPC applied to Engineering will be held at the University of Pecs, Hungary. The course is suitable for novice and experienced users of HPC. Course Objectives: To provide an overview of the state of the art of high performance computing as applied to engineering applications. Special reference will be given to parallel, distributed and cloud computing and how serial or sequential algorithms for engineering problems may be parallelized for the efficient solution of large scale problems in engineering, analysis, simulation and design. Course Lecturers: Prof. Dr. Wolfgang Gentzsch, Co-founder and President, the UberCloud;  Prof. Dr. P. Iványi, University of Pécs, Hungary;  Prof. Dr. J. Kruis, Czech Technical University, Czech Republic;  Prof. Dr. B.H.V. Topping, Heriot-Watt University, UK and University of Pécs, Hungary. For further details please see the webpage: http://hpc-course.mik.pte.hu/.

Simulation Software: A Price and Performance for Everyone

DE - April 2016What’s stopping you, and many others in small- and medium-sized businesses (SMBs), from simulating designs well before building them? Although the concept is definitely spreading industry-wide perhaps you just haven’t found the right tool for your budget, timeframe and experience. Pamela Waterman from Desktop Engineering asked a wide range of analysis-software providers what they’re doing to address the barriers of cost, compatibility, accessibility, ease-of-use and more. You’ll find offerings for individual parts or complete assemblies, single-physics or multiphysics, cloud options, flexible licensing and open sources. The possibilities should have you taking a second look at adding more analysis to your workflow. Read the full article HERE.

New ANSYS Elastic Licensing for Pay-Per-Use Cloud Computing

ANSYS Flex LicensingIn his recent blog Wim Slagter, Director for HPC & Cloud Marketing at ANSYS, introduced the new ANSYS Elastic Licensing (TM). When you choose to run ANSYS on the cloud, one key point is that you don’t necessarily need to buy new licenses or move licenses to the cloud. Through a secure firewall connection (as provided by one of our cloud-hosting partners), you can simply reach back to your on-premises license server, and use the licenses you already own. In this way, ANSYS doesn’t force you into a new business model for cloud computing. If you want to isolate your work on the cloud, or if you need added license capacity for the cloud, you can either lease/purchase added license capacity or re-host existing licenses on the license server of the cloud-hosting partner. Learn more about this great new feature in Wim’s blog HERE.

10 Reasons Why Cloud CAE Software is The Better Option

Cloud-CAE-ExampleIn an excellent blog at our partner SimScale’s website cloud blogger Radu Crahmaliuc explains ‘why Software as a Service (SaaS) is better for enterprises’ than an in-house computing solution. According to IDC, 27.8% of the enterprise software market will be SaaS by 2018. The estimated value of the SaaS market is more than $50.8 billion. According to Radu, Cloud CAE solutions offered as Software as a Service bring plenty of industry-specific benefits for CAE users. Staying ahead of the curve is key to any business. Cloud is the fastest, most cost-effective business enabling technology to help companies achieve a competitive advantage. Read Radu’s 10 good reasons for moving to a SaaS solution HERE.

UberCloud delivers scalable HPC Cloud end-user deployments with OpenHPC containers

OpenHPC1SUNNYVALE, Calif., March 30, 2016 – Today UberCloud announced that it has developed quick-to-roll-out and easy-to-use containers based on OpenHPC for use in High Performance Computing (HPC), whether they be on-premise, or in the public or a private cloud. Using popular Linux Container technology, UberCloud containers resolve the deployment challenges of traditional HPC environments with the goal to make HPC ubiquitous and widely available. UberCloud uses OpenHPC to develop pre-configured, ready-to-run software containers to ease usability, accessibility, and portability challenges for development and execution of HPC applications in public and private cloud environments. UberCloud OpenHPC containers are one elegant way to deliver software packages effectively and efficiently into the cloud, and execute them in a single-tenant environment. Read the full announcement HERE.

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