Examples of using Gpus in English and their translations into Serbian
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Colloquial
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Ecclesiastic
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Computer
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Latin
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Cyrillic
GeForce GTX GPUs are available in laptops as thin as 18mm,
published in computer vision, having spurred many more papers published employing CNNs and GPUs to accelerate deep learning.[16]
made feasible due to the utilization of graphics processing units(GPUs) during training.[2].
could still run on the older widespread DirectX 7 GPUs(albeit without shaders being used).
18,688 graphics processing units(GPUs) spinning at breakneck speeds to make to make scientific breakthroughs in record times.
of which 84 percent could be attributed to GPUs, while Tegra Processors will make up for the rest.
In 2009, Nvidia was involved in what was called the“big bang” of deep learning,“as deep-learning neural networks were trained with Nvidia graphics processing units(GPUs).”[79] That year, Google Brain used Nvidia GPUs to create capable DNNs.
We first heard confirmation that AMD would begin to move its CPUs and GPUs to a new 12nm LP process in H1 2018 at the GlobalFoundries Technology Conference(GTC 2017)
a market for independently designed graphics processing units(GPUs) was enabled.
Volta GPUs and the new DXR API from Microsoft,
The cryptocurrency frenzy drove up prices for Nvidia's GPUs, but once that demand disappeared, prices did not decrease
Volta GPUs and Microsoft's new DXR API,
In other words, the crypto mining frenzy drove up prices for Nvidia's GPUs, but once that demand disappeared,
The digital money free for all drove up costs for Nvidia's GPUs, yet once that demand vanished, costs did not
It originated in the era of software rendering on PCs prior to the appearance of GPUs, competing with other libraries such as Argonaut's BRender
as Origin lets you choose between the GeForce GTX 1060 or 1070 GPUs that's capable of providing buttery smooth frame rate on almost all the games at Full HD resolution.
even ensuring fast connections between multiple GPUs in workstations and gaming PCs.
passion for technology evangelization will help strengthen our channel business as we bring new low-power APUs and discrete GPUs to market in 2013 that provide outstanding value,
matrix/vector math involved in machine learning.[71][72] GPUs have been shown to speed up training algorithms by orders of magnitude,
One of these clusters will consist of IBM POWER9 processors and NVIDIA GPUs, which are the same components that IBM