By now, every enterprise has already picked one or more provider such as Amazon, Google or Microsoft to execute their cloud strategy. One of the last workloads to move to the cloud is simulation and Ansys. Running Ansys in the cloud has huge benefits for engineers and, our detailed guide covers security, licensing and cost, as well as best practices for moving your Ansys simulations to the cloud.
Workstation, in-house cluster or compute power in the cloud, all have benefits and drawbacks. This white paper discusses some of these issues, describes a model to calculate cloud Total Cost of Ownership (TCO), and shows a simple way to compare the costs across these options.
Engineering data is of strategic importance. Protection of this data from accidental deletion and unauthorized change or disclosure is a key part of any cloud implementation. Learn how UberCloud and its partners work to keep your data secure
Every major independent analyst proclaims the value of cloud computing. While these experts universally agree on the positive business impact of cloud computing, executives are unlikely to purchase a solution unless they are able to clearly understand the true value.
To convince today’s executives to authorize a purchase you will need to (a) understand their drivers, (b) discuss the true business impact, and (c) deliver measurable results
How Docker and Linux container technology is being used to deliver portability, ease-of-use and performance to technical computing.
UberCloud provides on-demand software solutions for Ansys and more in oil and gas, along with HPC and graphics processing unit (GPU) technology infrastructure.
The Cloud is perfect for Computationally Demanding CFD studies. And with UberCloud, the cloud is within reach to every engineer.
