Examples of 'gpus' in a sentence
Meaning of "gpus"
gpus (noun) - stands for Graphics Processing Units, specialized electronic circuits designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display
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- Initialism of Green Party of the United States.
- plural of GPU
How to use "gpus" in a sentence
Basic
Advanced
gpus
Nvidia recommended GPUs for this application.
Use GPUs to train neural networks faster.
Some PSCs use clustered GPUs or CPUs.
Times faster on GPUs compared to normal CPUs.
These are implemented by emulation on some TeraScale GPUs.
The GPUs that you should consider.
Experience working with GPUs to develop models.
I remember the same comments about GPUs.
Anyone with modern GPUs can use it.
Two GPUs on one graphics card.
Seven expansion slots for GPUs.
Nvidia GPUs are widely used in supercomputing.
It has also been implemented on graphical processing units GPUs.
The discrete GPUs have a bit of a bad history.
High quality only works well on modern GPUs.
See also
The GPUs are about even.
With graphics processing units or GPUs.
Can accommodate GPUs of any size.
Such capability is usually supported by the mainstream GPUs.
That is the reason why GPUs are efficient.
It began with the arrival of GPUs.
Games require powerful GPUs that are expensive and bulky.
Nvidia is encouraging overclocking with its new GPUs.
Some GPUs may render an entire scene at one time.
Compatible with a wide range of GPUs.
We now have the amount of GPUs available on our hardware.
Computers are increasing equipped with high performance GPUs.
This helps to ensure that GPUs become more efficient.
Enough for me to buy two GPUs.
This thesis explores the usage of GPUs for bioinformatics applications.
That is not true about GPUs.
The video signals are processed by GPUs in commercially available graphic cards.
Who would have thought the gpus die.
What GPUs can do.
Mapping computational concepts to GPUs.
Gpus is to learn about.
Smoothed particle hydrodynamics on GPUs.
A number of supercomputers have combined GPUs with CPUs to boost performance.
There was no reporting on the GPUs.
The parallelized nature of GPUs can be used for shorter render times.
Accelerate applications with two doublewide GPUs or two FPGAs.
But look at where GPUs have come from in the past decade.
Devices with PowerVR GPUs.
Direct access to GPUs with which you can speed up certain workloads.
An implementation of an image based renderer is found feasible on modern GPUs.
And the modern cpus and gpus to train such a humongous model.
Supports the following GPUs.
Which is why GPUs often come with their own scaling technology.
The big difference between the two GPUs is memory.
The two GPUs are given each half of the frame for processing.
