If quantum computers are going to become a commercial thing sometime down the road – and there’s a lot of money and time going into the effort to make them viable for use by HPC organizations and enterprises – it’s increasingly likely that it will be in combination with classical computers. …
Last May, after we had done a deep dive on the “Hopper” H100 GPU accelerator architecture and as we were trying to reckon what Nvidia could charge for the PCI-Express and SXM5 variants of the GH100, we said that Nvidia needed to launch a Hopper-Hopper superchip. …
Nvidia is not rich enough – or dumb enough – to build a cloud to rival the likes of Amazon Web Services, Microsoft Azure, or Google Cloud. …
GPU computing platform maker Nvidia announced its financial results for its fiscal fourth quarter ended in January, which showed the same digestion of already acquired capacity by the hyperscalers and cloud builders and the same hesitation to spend by enterprises that other compute engine makers for datacenter computing are also seeing. …
If memory bandwidth is holding back the performance of some of your applications, and there is something that you can do about it other than to just suffer. …
In many industries, embracing AI in the application software stack it is not just a matter of training some large language models or recommender systems against general and then specific datasets and plugging it in. …
After a decade and a half of ceaseless and focused work, Nvidia has created a modern compute platform, and a unique one at that. …
The advent of the Data Processing Unit or the I/O Processing Unit, or whatever you want to call it, was driven as much by economics as it was by architectural necessity. …
The top hyperscalers and clouds are rich enough to build out infrastructure on a global scale and create just about any kind of platform they feel like. …
Predicting the future is hard, even with supercomputers. And maybe specifically when you are talking about predicting the future of supercomputers. …
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