In a previous blog, I noted that born in the cloud companies can be a boon to tech startups looking to optimize precious resources. In this post, I offer a spectacular case in point.
Optisys had big goals and big compute needs. Designing its next-gen antenna, the Utah-based startup sought order-of-magnitude reductions in size, weight and lead time, and a cost-effective solution for running large, concurrent RF electronics simulations. Establishing an in-house IT function wasn’t an option: Optisys (like many startups) had little appetite or budget for investing outside its core business. Instead, it adopted Rescale’s cloud-based platform to satisfy its simulation needs. Continue reading →
“Please fasten your seat belts, we may encounter some turbulence as we enter the clouds ahead,” the pilot announced on my flight back from a big computer conference in Denver last month. The lady sitting next to me leaned over and admitted: “I never really understand what the pilot means by that announcement.” It reminded me that you may also need some clarity about cloud computing for your ANSYS simulations.
Bumps along a cloud-computing journey can be caused by concerns about security and where the data is stored, lack of licensing options and/or end-user productivity. We have taken steps to ensure you can move in and out of the cloud smoothly, and in analogy with what I just wrote: in our case “no seat belts required.”
Engineers at every company are trying to innovate faster while holding down costs. Modeling and engineering simulations are the backbone of these efforts. Engineers may wish to run ANSYS Fluent simulations at scale, or many different permutations simultaneously, that may require more computing resources than are readily available. Hybrid HPC computing combines public and on-premise compute resources to offer organizations a flexible, cost-effective approach to meet these requirements. Continue reading →
Whenever I speak to our customers who want to run our software on something more powerful than their desktop computers, I hear the need for quantitative proof of HPC benchmark tests. If you have the same need, you can now get that proof, and it won’t cost you a thing.
We’ve established a Free Performance Benchmark program. Instead of demonstrating evidence of the benefits of HPC on standard benchmark models, we want to show you the time savings that HPC can make possible for your very own model. Continue reading →
In the world of stock-car racing, finding even the smallest competitive advantage is the difference between winning and losing.
That’s why at Richard Childress Racing, we design and build our race cars end-to-end. We engineer and machine our own chassis and suspension components, we design and fabricate our own bodies, and we test and build our own engines. Everything is built from the ground up at RCR.
Many engineers are using powerful simulation software but are still not deploying HPC to the full extent. Case in point, I presume most of you have heard about the 24 Hours of Le Mans race. There is one starting June 17. I find it very exciting, not least because teams of three drivers per car compete to complete the most laps around the 13.629-km Circuit de la Sarthe in 24 hours! The race cars reach more than 320 km/h on the straightaway, spending most of the 24 hours at full throttle.
Imagine the roar of the engine drowning out the cheers of the crowds as you speed smoothly around the track in a finely tuned (thanks to simulation) race car. Now imagine the track is a country road or dirt road, not so smooth or speedy now, is it? Continue reading →
Most simulation engineers with a hunger for high performance computing (HPC) have looked longingly to the cloud. Cloud computing has the potential to provide virtually unlimited access to HPC, enabling larger simulations and more design variations to be done in less time, since many machines working in parallel can solve even very large problems quickly. While the cloud offers much more than unlimited computing power, it’s those HPC resources that provide the strongest pull to the cloud. The question we seek to answer here is, “is it possible to get cloud-based HPC at very low cost?” Continue reading →
In the first part of this two-part post, I already addressed four of the eight cloud computing best practices that are fundamentally related to simulation data and end-user access. Now I’ll address best practices that are associated with licensing, HPC workloads, and business support for cloud deployments. Continue reading →
Rapid growth in the use of engineering simulation tools – and in the demand for high performance computing (HPC) – is driving interest in cloud computing. Using the cloud for simulation presents unique challenges with different solution types required for specific use-cases. For many years, I have been on this journey with customers adopting cloud computing. Quite a few of them has been enabled through the UberCloud project. Let me share some lessons learned and key takeaways. I will basically do that by means of eight “best practices”: Continue reading →
While considering a switch to the cloud, many of you may wonder how ANSYS licensing will work there, and more in particular, when and how we will support a pay-per-use model. I have very good news for you. Along with your existing licenses, you can use our newly announced ANSYS Elastic LicensingTM. This is a new pay-per-use licensing model unlocking virtually every ANSYS product that is supported on cloud-hosting partner hardware. Continue reading →