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. …
The related but distinct HPC and AI markets gave Nvidia a taste for building systems, and it looks like the company wants to control more of the hardware and systems software stack than it currently does given that it is willing to shell out $6.9 billion – just about all of the cash it has on hand – to acquire high-end networking equipment provider and long-time partner Mellanox Technologies. …
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. …
Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. …
Emerging technologies like machine learning, deep learning, and natural language processing can promise significant improvements in an array of industries, including the healthcare field. …
Nvidia co-founder and chief executive officer, Jensen Huang, would be the first one to tell you that the graphics chip maker was an unintended innovator in supercomputing, that what the engineers who created the first Nvidia GPUs were really trying to do was enable 3D video games. …
Sales of various kinds of high performance computing – not just technical simulation and modeling applications, but also cryptocurrency mining, massively multiplayer gaming, video rendering, visualization, machine learning, and data analytics – run on little boom-bust cycles that make it difficult for all suppliers to this market to make projections when they look ahead. …
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. …
OpenACC is one of the prongs in a multi-prong strategy to get people to port the parallel portions of HPC applications to accelerators. …
The data-heavy medical field has long been seen as fertile ground for artificial intelligence (AI), where machine learning and deep learning techniques could crunch through mountains of data to drive everything from research to personalized medicine. …
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