Solving the data conundrum with HPC and AI

Fixing the knowledge conundrum with HPC and AI

Supercomputing has occur a long way considering that its beginnings in the 1960s. Initially, many supercomputers ended up centered on mainframes, even so, their price tag and complexity were being significant boundaries to entry for numerous establishments.  The thought of utilizing a number of very low-cost PCs around a community to present a price-efficient kind of parallel computing led exploration institutions along the path of superior-effectiveness computing (HPC) clusters setting up with “Beowulf” clusters in the 90’s.

Beowulf clusters are very a lot the predecessors to today’s HPC clusters. The fundamentals of the Beowulf architecture are still applicable to present day-working day HPC deployments nonetheless, a number of desktop PC’s have been changed with purpose-created, significant-density server platforms. Networking has noticeably enhanced, with Higher Bandwidth/Reduced Latency InfiniBand (or, as a nod to the past, increasingly Ethernet) and high-general performance parallel filesystems these as SpectrumScale, Lustre and BeeGFS have been designed to let the storage to continue to keep up with the compute. The enhancement of excellent, often open-source, equipment for controlling superior-efficiency dispersed computing has also built adoption a lot less complicated. 

One thought on “Fixing the knowledge conundrum with HPC and AI

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