The deal for Nvidia to acquire Mellanox, which was announced last March for $6.9 billion, has finally passed muster with all of the regulatory bodies of the world and closed today. …
It is not inconceivable, but probably also not very likely, that the datacenter business at GPU juggernaut Nvidia could at some point in the next one, two, or three years equal that of the core and foundational gaming sector. …
Indiana University is the proud owner of the first operational Cray “Shasta” supercomputer on the planet. …
The GPU has become a standard platform for accelerating high performance computing workloads, at least for those that have had their code tweaked to support acceleration at all. …
The choice of processors available for high performance computing has been on growing for a number of years. …
If we could sum up the near-term future of high performance computing in a single phrase, it would be more of the same and then some. …
Like their US-based counterparts, Google and Amazon, the Chinese Internet giants Baidu and Alibaba rely on GPU acceleration to drive critical parts of their AI-based services. …
Nvidia has for years made artificial intelligence (AI) and its various subsets – such as machine learning and deep learning – a foundation of future growth and sees it as a competitive advantage against rival Intel and a growing crop of smaller chip maker and newcomers looking to gain traction in a rapidly evolving IT environment. …
As GPU-accelerated servers go, Nvidia’s DGX-2 box is hard to beat. …
The one thing that AMD’s return to the CPU market and its more aggressive moves in the GPU compute arena have done, as well as Intel’s plan to create a line of discrete Xe GPUs that can be used as companions to its Xeon processors, has done is push Nvidia and Arm closer together. …
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