Japan to Unveil Pascal GPU-Based AI Supercomputer
A shared appetite for high performance computing hardware and frameworks is pushing both supercomputing and deep learning into the same territory. …
A shared appetite for high performance computing hardware and frameworks is pushing both supercomputing and deep learning into the same territory. …
If Nvidia’s Datacenter business unit was a startup and separate from the company, we would all be talking about the long investment it has made in GPU-based computing and how the company has moved from the blade of the hockey stick and rounded the bend and is moving rapidly up the handle with triple-digit revenue growth and an initial public offering on the horizon. …
In the ideal hyperscaler and cloud world, there would be one processor type with one server configuration and it would run any workload that could be thrown at it. …
Over the last year in particular, we have documented the merger between high performance computing and deep learning and its various shared hardware and software ties. …
There is little doubt that 2017 will be a dense year for deep learning. …
In Supercomputing Conference (SC) years past, chipmaker Intel has always come forth with a strong story, either as an enabling processor or co-processor force, or more recently, as a prime contractor for a leading-class national lab supercomputer. …
Deep learning and machine learning are major themes at this year’s annual Supercomputing Conference (SC16), both in terms of vendors showcasing systems that are a fit for both high performance computing and machine learning, and in the revelation of new efforts to combine traditional simulations with neural networks for greater efficiency and insight. …
Chip maker Nvidia was founded by people who loved gaming and who wanted to make better 3D graphics cards, and decades later, the company has become a force in computing, first in HPC and then in machine learning and now database acceleration. …
Moore’s Law may be slowing down performance increases in compute capacity, but InfiniBand networking did not get the memo. …
In the course of this three-part series on the challenges and opportunities for enterprise machine learning, we have worked to define the landscape and ecosystem for these workloads in large-scale business settings and have taken an in-depth look at some of the roadblocks on the path to more mainstream machine learning applications. …
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