Chip maker Nvidia might be best known for its graphics and datacenter compute engines, but the company has made no secret of its aspirations to be a bigger player across the datacenter. …
Sponsored If you have a hundred or a thousand machines that you want to work in concert to run a simulation or a model or a machine learning training workload that cannot physically be done by any one single machine, you build a distributed systems cluster and there are all kinds of known tools to manage the underlying server nodes, to create the overarching computing environment, and to then carve it up into pieces to push work through it. …
Computing has become more complex as the digital age has progressed. …
HPC architects have continued to push the bounds of what is possible with computing, but the underlying architecture they have used has been fairly consistent – bare metal servers, which get bigger and faster over time. …
For more than a decade, as they have watched the amount of data they are generating stack up and technologies like artificial intelligence and analytics come to the forefront, enterprises have turned an eye toward high performance computing equipment and tools to help them get a handle on all of it. …
Long gone are the days when high performance computing was limited solely to traditional simulation and modeling at academic and government research labs. …
We all remember learning to ride a bike. Those early wobbly moments with “experts” holding on to your seat while you furiously peddled and tugged away at the handlebars trying to find your own balance. …
File systems have never been the flashiest segment of the IT space, which might explain why big shakeups and new entrants into the market don’t draw the attention they could. …
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