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
Drug development is facing change – both from technological pressures, such as the use of AI and machine learning, plus new regulations which are driving sweeping changes to the way electronic records are created and stored for clinical trials.
Robert Roe speaks with laboratory informatics software providers about the future of their software and the introduction of new technologies, such as AI and deep learning
Scientists are now beginning to use new technologies such as the internet of things (IoT), artificial intelligence (AI) and machine learning (ML) in their daily workflows.
In today’s world, where drug development integrates science and technology, consumer safety is paramount in the pharmaceutical industry.