A potentially game-changing theoretical approach to quantum computing hardware avoids much of the problematic complexity found in current quantum computers. The strategy implements an algorithm in natural quantum interactions to process a variety of real-world problems faster than classical computers or conventional gate-based quantum computers can. The post Los Alamos Researchers Advance Quantum Hardware with […]
Altman Solon believes growth in enterprise-level generative AI tools will lead to incremental demand for compute resources, positively benefiting core, centralized data centers, where training occurs, and local data centers, where inference occurs. Network providers should see a moderate increase in demand for data transit networks and a boost for private networking solutions. The post […]
According to a new global study conducted by S&P Global Market Intelligence and commissioned by WEKA, the adoption of artificial intelligence (AI) by enterprises and research organizations seeking to create new value propositions is accelerating, but data infrastructure and AI sustainability challenges present barriers to implementing it successfully at scale. These challenges have been exacerbated […]
Expanding a GPU cluster is far from straightforward, especially as generative AI has accelerated shortages. NVIDIA A100 GPUs were some of the first to be impacted (reported increases by up to 40% above MSRP according to WCCFtech) and they are now so scarce that the lead time for some versions is up to a year. These supply […]
Quantum computing is in the midst of the so-called NISQ era – a time of noisy intermediate scale quantum devices based a variety of qubit modalities, all of which are too error-prone for practical computing. While the qubit zoo keeps growing – superconducting, trapped ions, neutral atoms, photonics, spin qubits, and more – its members […]
Inspired by how our body’s motor proteins facilitate tasks like muscle contraction and cellular migration, scientists have been looking for efficient ways to convert chemical energy (the energy stored in substances) into useful mechanical work. By understanding and harnessing the mechanisms that nature uses, we can develop new technologies and advancements with implications in areas […]
To better predict the specifics of these storms, researchers at The Pennsylvania State University (Penn State) recently used Expanse at the San Diego Supercomputer Center (SDSC) at UC San Diego and Stampede2 supercomputer at the Texas Advanced Computing Center to closely examine the role of convection in global energy distribution. The post Supercomputer Simulations Generate […]
Lawrence Livermore National Laboratory (LLNL) scientists recently combined large-scale molecular dynamics simulations with machine learning interatomic potentials derived from first-principles calculations to examine the hydrogen bonding of water confined in carbon nanotubes (CNTs). They found that the narrower the diameter of the CNT, the more the water structure is affected in a highly complex and […]
Sustainability in high-performance computing (HPC) has been on everyone’s mind lately. In the most recent survey from Hyperion Research, sustainability and energy efficiency rose to the top of priority lists for many HPC datacenter procurement plans, second only to performance, even more imperative than price. The post How Do We Make Supercomputing Operations More Sustainable […]
Researchers at Leipzig University have developed a highly efficient method to investigate systems with long-range interactions that were previously puzzling to experts. These systems can be gases or even solid materials such as magnets whose atoms interact not only with their neighbours but also far beyond. Professor Wolfhard Janke and his team of researchers use […]
