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Reasons to purchase
Originally used two 1080ti to run Deep Learning, feeling wrong, nVidia's support for ordinary graphics is also not very much, when last December released Titan V, see this card is entirely for Deep Learning and born, not Then GTX series, and also have professional graphics performance for the industry software, can not help but want to buy a use.
Appearance Gallery
The hand is a white box, hot gold TITAN V, really low-key
The side is also
Multi-language and performance requirements and accessories table on the back
After opening the box, a glittering Titan card is exposed. . .
Take the video card out of the box
After unpacking, this color is too low-key
Also golden yellow PCB
N ancestral public version turbine fan
Printed on the side with golden TITAN characters, the front has been separated from the GTX game card series, completely different from the previous generation Titan Xp
Flagship public version card ancestral 6+8pin power slot
Behind the turbine fan inlet
TITAN V's name was also printed on the backboard, but there was no gold
I like the effect on the machine, I really can not stand light pollution, as long as there are lights off, leaving the debug board on the main display
experience feelings
Running Deep Learning is entirely based on the single-precision advantage of its 15TFLOPS. It has little advantage over the original 1080ti, but it is more stable. Since this is a block video card, but also able to run the game, to see how the game performance, after overclocking is how?
Take a look at the parameters of this Titan V, the default frequency is 1200MHz, boost is 1455MHz, very conservative frequency
Let's take a look at what the theoretical values ​​are, and compared with 1080ti, the single-precision floating-point difference is small, but the double-precision floating-point is a difference between heaven and earth.
3Dmark's Time Spy Extreme
Directly pulled the core 200, memory performance after 125 results
Look at how old the old test FSE is
What is the number after overclocking?
It seems that the performance increase after overclocking is still quite objective
to sum up
In fact, this card is not a game card category, use it down to feel all aspects of performance are top, including professional graphics Quadro capable, Titan V capable faster, but Deep Learning feel no qualitative improvement, no performance on volta Do a good job of optimization, or simply run a single precision, not much use its unique Tensor Core. If you want to buy this card to play the game, it is recommended not to choose this, choose two 1080ti or TitanXp on it, the gap no more than the price difference. If you are running Deep Learning, if you do not have an optimized status, you might as well not have two TitanXps. There is no guarantee that the corresponding volta architecture will be optimized in the future.
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