Satisfying Your Need for Speed:  Server Technology Helps to Achieve Aerodynamic Vehicle Design
A world-renowned automotive manufacturer uses Computational Fluid Dynamics (CFD) simulation software, analyzing huge amounts of data to optimize the design of their vehicles. They selected GIGABYTE’s high density multi-node servers to build a high-performance computing cluster for their vehicle design center, making the most efficient use of the limited space available to deliver maximum computing power to their aerodynamic engineering team.
As Good as Gold – High Performance Computing Accelerates Oil Extraction
High Performance Computing (HPC) can complete complex and large-scale computational analysis workloads in a relatively short amount of time, bringing about many breakthroughs in scientific and technological development. HPC is also an indispensable tool for contemporary scientific research, and the number of fields that it can be applied to is constantly growing, such as for weather forecasting, earthquake imaging or genetic analysis. Even oil extraction can now rely on HPC to improve process efficiency and accuracy, allowing mining companies to save a huge amount of money and giving them a greater competitive advantage in the energy market.
How Can High Performance Computing Render Art and Imagination?
In the 21st century, various breakthroughs in image creation and animation have been made using powerful computer graphics capabilities. Whether it is a perfect montage of virtual and real images, or exquisitely gorgeous visual effects, High Performance Computing (HPC) empowers artists using technological media to convey a wealth of ideas that will exceed your wildest imagination. Taiwan’s National Center for High-Performance Computing has adopted GIGABTYE’s GPU servers to provide the best computing performance capabilities possible for their Render Farm service.
Five Minutes to Know More About the Deep Learning Industry – Will AI Replace Humans?
Can Artificial Intelligence really mimic a human being? And what are the most popular examples of deep learning applications in recent years?