It has been clear for some time that Japan wants to have a certain amount of economic and technical independence when it comes to cloud computing in the Land of the Rising Sun. …
Very few organizations have enough iron to train a large language model in a reasonably short amount of time, and that is why most will be grabbing pre-trained models and then retraining the parameters in the models with much smaller datasets that are important to them. …
There is a constant push and pull between budget and architecture in supercomputing, and the passing of time has not made anyone’s arms tired as yet on both sides of the bargaining table. …
Supercomputers are designed for a number of big jobs that can only be done by massively powerful machinery, and one of those jobs has been the modeling of chemical compounds and biological systems, often in concert to model diseases and to help find cures for them. …
When originally conceived, Japan’s Post-K supercomputer was supposed to be the country’s first exascale system. …
When it comes to energy-efficient supercomputing, sometimes less is more. That was illustrated this week by Fujitsu with its A64FX prototype, which captured the top spot on the Green500 list. …
The processing world would be a whole lot less diverse and interesting if it were not for a healthy amount of nationalism. …
This story has been updated with new information since it originally ran. …
A shared appetite for high performance computing hardware and frameworks is pushing both supercomputing and deep learning into the same territory. …
The supercomputing industry is accustomed to 1,000X performance strides, and that is because people like to think in big round numbers and bold concepts. …
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