Microsoft is intent on bending the supercomputing set its direction. Instead of just focusing on competing with other public clouds, they’re aiming directly at on-prem HPC, showing comparable or better performance to existing top 10 supercomputers, for example. …
Exascale systems are expensive but for labs retrofitting existing facilities for novel cooling, the compute, storage, network, and software are only the beginning of high costs. …
Just as in so many other areas of the world economy where real growth is being driven by those who can afford the bleeding edge, chipmakers are seeing the greatest opportunity at the top end of the market. …
Sue Mniszewski has been a research staff member at Los Alamos National Lab (LANL) for over forty years and in that time has watched several novel architectures come and go. …
Many have tried, but few parallel file system upstarts have challenge the dominance of Lustre, and to a lesser extent these days, GPFS/Spectrum Scale. …
When AI/ML came onto the scene in the supercomputing community, common wisdom was that it could do much to augment HPC applications but it would be not be able to replace many of the computationally-intensive physics and simulation workloads. …
The InfiniBand interconnect emerged from the ashes of a fight about the future of server I/O at the end of the last millennium, and instead of becoming that generic I/O it became a low latency, high bandwidth interconnect used for high performance computing. …
It is always good to have options when it comes to optimizing systems because not all software behaves the same way and not all institutions have the same budgets to try to run their simulations and models on HPC clusters. …
Argonne National Laboratory has become a must-watch lab for those following the convergence of supercomputing and AI/ML. …
AI/ML, more sophisticated analytics, and larger-scale HPC problems all bode well for the on-prem storage market in high performance computing (HPC) and are an even bigger boon for cloud storage vendors. …
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