This white paper provides an overview of cloud pricing models and a high-level description of how they could be applied to performing engineering simulation using ANSYS Enterprise Cloud, while optimizing your hardware spend on Amazon Web Services (AWS).
White Papers
23 November 2016
11 November 2016
Sanjay Khetia, Chief Technology Officer at the Centre for Modelling and Simulation (CFMS), talks about Industry 4.0, and the use of modelling and simulation to explore its possibilities.
04 November 2016
This white paper describes eight best practices for cloud deployments that are fundamentally related to simulation data and end user access, licensing, HPC workloads, and business support.
01 November 2016
This eBook has been developed to give you a comprehensive resource when searching for the laboratory data management solutions that can help your business meet the most pressing business and regulatory challenges. Inside you’ll find expert commentary on how integrated informatics can help you meet ISO 17025 requirements or manage daily workflow and SOP compliance issues in the lab. You’ll also find case studies from some of the largest oil and gas companies in the world, as well as technical product information and other supporting materials.
11 August 2016
Founded by world leaders in genome technology, cancer biology and medical oncology, Foundation Medicine is a cancer diagnostics company at the forefront of bringing comprehensive genomic analysis to routine cancer care.
Pages
Latest issue
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Every device needs to work seamlessly in its operating environment. But when that environment is a human body, things get complicated.
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or
