So, You Think You Can Design A 20 Exaflops Supercomputer?
UPDATED* Perhaps Janet Jackson should be the official spokesperson of the supercomputing industry. …
UPDATED* Perhaps Janet Jackson should be the official spokesperson of the supercomputing industry. …
We have been excited about the possibilities of adding tiers of memory to systems, particularly persistent memories that are less expensive than DRAM but offer similar-enough performance and functionality to be useful. …
Exascale supercomputing is just as important to Europe as it is to the United States and China, but each of these geopolitical regions on Earth has its own way of developing architectures, funding their development and production, and figuring out where the best HPC centers are to host such machines to maximize their effectiveness. …
Nvidia is not the only company that has created specialized compute units that are good at the matrix math and tensor processing that underpins AI training and that can be repurposed to run AI inference. …
There is increasing competition coming at Nvidia in the AI training and inference market, and at the same time, researchers at Google, Cerebras, and SambaNova are showing off the benefits of porting sections of traditional HPC simulation and modeling code to their matrix math engines, and Intel is probably not far behind with its Habana Gaudi chips. …
In an ideal platform cloud, you would not know or care what the underlying hardware was and how it was composed to run your HPC – and now AI – applications. …
Industry benchmarks are important because, no matter that comparisons are odious, IT organizations nonetheless have to make them to plot out the architectures of their future systems. …
Over the past decade, much of the focus with machine learning has been on CPUs and accelerators, primarily GPUs but also custom ASICs, with advances in the chip architecture aimed at boosting parallel math performance. …
Managing an aging nuclear weapons stockpile requires a tremendous – and ever-increasing – amount of supercomputing performance, and the HPC system business the world over is focused on this as much as trying to crack the most difficult scientific, medical, and engineering problems. …
Most of the large companies and institutions we cover here at The Next Platform have already been in the AI/ML trenches, particularly the hyperscale web and media companies (where much of this work began) and in high performance computing. …
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