It is a renaissance for companies that sell GPU-dense systems and low-power clusters that are right for handling AI inference workloads, especially as they look to the healthcare market–one that for a while was moving toward increasing compute on medical devices. …
When it comes to supercomputing, more is almost always better. More data and more compute – and more bandwidth to link the two – almost always result in a better set of models, whether they are descriptive or predictive. …
Kubernetes has quickly become a key technology in the emerging containerized application environment since it was first announced by Google engineers just more than three years ago, catching hold as the primary container orchestration tool used by hyperscalers, HPC organizations and enterprises and overshadowing similar tools like Docker Swarm, Mesos and OpenStack. …
Building the first exascale systems continues to be a high-profile endeavor, with efforts underway worldwide in the United States, the European Union, and Asia – notably China and Japan – that focus on competition between regional powers, the technologies that are going into the architectures, and the promises that these supercomputers hold for everything from research and government to business and commerce. …
Each year, at the ISC and SC supercomputing conference shows every year, a central focus tends to be the release of the Top500 list of the world’s most powerful supercomputers. …
If the hyperscalers have taught us anything, it is that more data is always better. …
For more than a year, container pioneer Docker has pushed its own Docker Swarm as the orchestration tool for managing highly distributed computing environments based on its eponymous containers in physical and virtual environments. …
POSIX I/O is almost universally agreed to be one of the most significant limitations standing in the way of I/O performance exascale system designs push 100,000 client nodes. …
At long last, Intel’s “Skylake” converged Xeon server processors are entering the field, and the competition with AMD’s “Naples” Epyc X86 alternatives can begin and the ARM server chips from Applied Micro, Cavium, and Qualcomm and the Power9 chip from IBM know exactly what they are aiming at. …
For years, the pace of change in large-scale supercomputing neatly tracked with the curve of Moore’s Law. …
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