Throughout the many different types of system architecture in the past six decades, one thing has always remained true: Hardware always gets ahead of software, and rather than be too annoyed about it, there is another thing that is also true. …
Creating the Tesla GPU compute platform has taken Nvidia the better part of a decade and a half, and it has culminated in a software stack comprised of various HPC and AI frameworks, the CUDA parallel programming environment, compilers from Nvidia’s PGI division and their OpenACC extensions as well as open source GCC compilers, and various other tools that together account for tens of millions of lines of code and tens of thousands of individual APIs. …
We have to admit that it is often a lot more fun watching an upstart carve out whole new slices of business, or create them out of what appears to be thin air, in the datacenter than it is to watch how it will respond to intense competitive pressures and somehow manage to keep growing despite that. …
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. …
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. …
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