At this point in the history of the IT business, it is a foregone conclusion that accelerated computing, perhaps in a more diverse manner than many of us anticipated, is the future both in the datacenter and at the edge. …
In a wide-ranging keynote address that ran nearly three hours at the GPU Technology Conference in San Jose, Nvidia co-founder and chief executive officer Jensen Huang talked up the company’s successes and new products across its graphics, robotics, and AI and HPC lineups. …
To a certain way of looking at it, Nvidia has always been engaged in the high performance computing business and it has always been subject to the same kinds of cyclical waves that affect makers of supercomputers and enterprise systems. …
More than five years ago, Nvidia, driven by its co-founder and CEO, Jensen Huang, turned its considerable focus to developing technologies for the revitalized and burgeoning artificial intelligence space. …
When it comes to machine learning, a lot of the attention in the past six years has focused on the training of neural networks and how the GPU accelerator radically improved the accuracy of networks, thanks to its large memory bandwidth and parallel compute capacity relative to CPUs. …
Moore’s Law is effectively boosting compute capability by a factor of ten over a five year span, as Nvidia co-founder and chief executive officer Jensen Huang reminded Wall Street this week when talking about the graphics chip maker’s second quarter of fiscal 2019 financial results. …
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