The heady, exciting days of ChatGPT and other generative AI and large-language models (LLMs) is beginning to give way to the understanding that enterprises will need to get a tight grasp on how these models are being used in their operations or they will risk privacy, security, legal, and other problems down the road. …
Two decades ago, all the chip makers, including Intel, had to buy Unix machines, usually massive ranks of Sparc/Solaris systems, to do electronic design automation to design and test their chip designs. …
The National Energy Research Scientific Computing Center at Lawrence Berkeley National Laboratory, one of the key facilities of the US Department of Energy that drives supercomputing innovation and that spends big bucks so at least a few vendors will design and build them, has opened up the bidding on its future NERSC-10 exascale-class supercomputer. …
The best kinds of research are those that test new ideas and that also lead to practical innovations in real products. …
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. …
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