Fueling AI With A New Breed of Accelerated Computing
A major transformation is happening now as technological advancements and escalating volumes of diverse data drive change across all industries. …
A major transformation is happening now as technological advancements and escalating volumes of diverse data drive change across all industries. …
There is no question right now that if you have a big computing job in either high performance computing – the colloquial name for traditional massively parallel simulation and modeling applications – or in machine learning – the set of statistical analysis routines with feedback loops that can do identification and transformation tasks that used to be solely the realm of humans – then an Nvidia GPU accelerator is the engine of choice to run that work at the best efficiency. …
Among all of the hardware and software that is in a datacenter, the database – whether it is SQL, NoSQL, NewSQL or some other contraption in which to pour data and ask questions about it – is probably the stickiest. …
Neural networks live on data and rely on computational firepower to help them take in that data, train on it and learn from it. …
Alex St. John is a familiar name in the GPU and gaming industry given his role at Microsoft in the creation of DirectX technology in the 90s. …
It is estimated that each day over a million malicious files are created and kicked to every corner of the web. …
The differences between peak theoretical computing capacity of a system and the actual performance it delivers can be stark. …
Artificial intelligence and machine learning, which found solid footing among the hyperscalers and is now expanding into the HPC community, are at the top of the list of new technologies that enterprises want to embrace for all kinds of reasons. …
Striking acceptable training times for GPU accelerated machine learning on very large datasets has long-since been a challenge, in part because there are limited options with constrained on-board GPU memory. …
Medical imaging is one areas where hospitals have invested significantly in on-premises infrastructure to support diagnostic analysis. …
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