
Nvidia Takes More Control Of Its GPU Compute Platform
Nvidia got a little taste of hardware, and the company’s top brass have decided that they like having a lot of iron in their financial diet. …
Nvidia got a little taste of hardware, and the company’s top brass have decided that they like having a lot of iron in their financial diet. …
It is difficult not to be impatient for the technologies of the future, which is one reason that this publication is called The Next Platform. …
The golden grail of deep learning has two handles. On the one hand, developing and scaling systems that can train ever-growing model sizes is one concern. …
There are plenty of things that the members of the high performance community do not agree on, there is a growing consensus that machine learning applications will at least in some way be part of the workflow at HPC centers that do traditional simulation and modeling. …
While the machine learning applications created by hyperscalers and the simulations and models run by HPC centers are very different animals, the kinds of hardware that help accelerate the performance for one is also helping to boost the other in many cases. …
When IBM started to use the word “open” in conjunction with its Power architecture more than three years with the formation of the OpenPower Foundation three years ago, Big Blue was not confused about what that term meant. …
What is good for the simulation and the machine learning is, as it turns out, also good for the database. …
The very first systems that allow for GPUs to be hooked directly to CPUs using Nvidia’s NVLink high-speed interconnect are coming to market now that Big Blue is updating its Power Systems LC line of Linux-based systems with the help of hardware partners in the OpenPower Foundation collective. …
In the first part of this series on the proposed Cache Coherence Interconnect for Accelerators (CCIX) standard, we talked about the issues of cache coherence and the need to share memory across various kinds of compute elements in a system. …
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