
Datacenter Becomes Nvidia’s Largest Business
Something that we have been waiting for a decade and a half to see has just happened: The datacenter is now the biggest business at Nvidia. …
Something that we have been waiting for a decade and a half to see has just happened: The datacenter is now the biggest business at Nvidia. …
The Korean Meteorological Administration (KMA) operates 20+ numerical weather prediction (NWP) models, including Korean numerical models, for weather forecasting. …
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. …
Sponsored Feature. There are a lot of things that the HPC centers and hyperscalers of the world have in common, and one of them is their attitudes about software. …
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. …
To a certain extent, the only thing that really matters in a computing system is what changes in its memory, and to that extent, this is what makes computers like us. …
When Nvidia announced a deal to buy Mellanox Technologies for $6.9 billion in March 2019, everyone spent a lot of time thinking about the synergies between the two companies and how networking was going to become an increasingly important part of the distributed systems that run HPC and AI workloads. …
With each passing generation of GPU accelerator engines from Nvidia, machine learning drives more and more of the architectural choices and changes and traditional HPC simulation and modeling drives less and less. …
It is the nature of capability class supercomputers to try to push the envelope on as many different architectural fronts as possible. …
Within a year or so, with the launch of the “Grace” Arm server CPUs, it will not be heresy for anyone at Nvidia to believe, or to say out loud, that not every workload in the datacenter needs to have GPU acceleration. …
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