Atos, has announced a commercially available machine-system capable of simulating up to 40 quantum bits (Qubits).
Atos, the company behind European supercomputer developer Bull, has announced that it was awarded a contract to install a new system for the UK’s Atomic Weapons Establishment (AWE)
ARM-based HPC systems will be available by the end of 2017. At ISC High Performance 2017 Penguin Computing and Bull both announce that they will deliver products tailored for the HPC industry
Digital services company Atos UK&I has announced a collaboration with the the UK Science and Technology Facilities Council (STFC) Hartree Centre which includes the purchase of the first Bull sequana X1000 supercomputer system in the UK and one of the most powerful in the world.
Bull has launched the bullx B700 DLC (Direct Liquid Cooling) supercomputers, a new series of Bull blade servers that reduce data centre cooling requirements and energy consumption
Bull has launched its Novascale Bullion, a scalable high-end server, designed to respond to business needs for more reliable infrastructures, high-availability, greater agility and energy management
Bull has launched its Bullx supernodes (S-series). These quad-core SMP (Symmetric Multi-Processing) servers can be extended to 8, 12 or 16 processors
Bull has introduced the Bullx family of environmentally efficient, ultra-dense and ultra-high performance supercomputers, suitable for anywhere from a small R&D office up to a data centre
Bull has launched myVMBox, a bespoke virtualisation solution for VMware environments
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
