Bright Computing, a provider of management solutions for clusters and clouds, has announced support for the Nvidia Tesla K40 GPU
Nvidia has launched the Tesla K40 - the world's fastest GPU accelerator
Nvidia has announced Cuda 6, the latest version of its parallel programming language, designed for programming GPUs to accelerate applications by replacing existing CPU-based libraries
Nvidia has announced what it says is the fastest and most capable GPU ever built - the Quadro K6000
Nvidia has announced the public availability of the latest version of the Nvidia Cuda parallel computing platform and programming model, which delivers support for ARM-based platforms
Nvidia has introduced a range of Quadro professional graphics products that it says offer unprecedented workstation performance and capabilities for professionals in manufacturing, engineering, medical, architectural, and media and entertainment companies
Nvidia has released Cuda 5, a new version of its parallel programming model for GPUs. It can be downloaded for free from the Nvidia Developer Zone website
A new line of Quadro professional graphics solutions for the latest mobile workstations has been announced by Nvidia
The second generation of Nvidia's workstation platform, Maximus, has been launched. Now supported by Kepler-based GPUs, Maximus delivers what the company describes as unparalleled performance and efficiency
Nvidia accelerator speeds up oil and gas search
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
