Titan graphics card mining
RX 390 RX 470 480 560 570 580 and higher RX Vega
of course, Titan is also OK. You look down on miners
while NVIDIA graphics card provides less computing resources, mainly through software optimization to achieve game acceleration. In addition, game n card simplifies some moles used in scientific computing (mining just belongs to this kind of Computing),
therefore, in the face of mining, which is a simple and high load operation, the N card with weak body will not work
for now, the design between AMD and NVIDIA is more and more similar. The a-card part absorbs the advantages of serial and branch judgment of n-card, and the n-card part also adopts the simple violence stack design of a-card. So who has the advantage is a mathematical proportion problem, whose graphics card is more accurate to the proportion planning of game resources, whose performance is better
so mining depends on the efficiency of the algorithm. A card is really good at an algorithm called SHA-256, which was used in violent decoding before (so a card also has a good performance in violent decoding)
unfortunately, in order to rece the power consumption, n card has actually simplified some scientific computing moles. As we said downstairs, the CPU is good at the work of branch judgment. N card no longer relies on itself, instead, it has been deleted, leaving this part of the work to the CPU to the processor, so the general computing performance is weaker than a card. As for the advantages of N card in the field of professional card for a card mentioned by some people, it mainly depends on the early investment and construction in the application of software in the past, that is, the early optimization is still in place, and now the old customers are still eating well
it is true that Tianhe first used 4870 as accelerator card, but there may be a mistake, that is, it was not NVIDIA's Tesla that was used by new Tianhe, but Titan, another supercomputer, which was not entirely Tesla processor, but also AMD's Haolong processor for collaborative computing. In fact, tianhe-2 uses Intel's Xeon Phi processor, neither amd nor NVIDIA.
Titan Series is a very significant series of NV geforce Series graphics cards. At present, there are Titan, Titan black and Titan Z
Why do you say that
abandon the traditional GTX + number naming, and use the title Titan directly There is a saying to commemorate Titan, the world's first supercomputer in computing power at that time. Titan used several NV Tesla computing cards.)
complete double precision floating-point computing performance, and the double precision floating-point computing performance in geforce Series graphics cards is generally reced. Titan's double precision floating-point computing performance is completely the same as that of Tesla computing card of the same specification at that time, and the price of Tesla computing card is generally no less than 3000 $
unprecedented 6144mb video memory (Titan Z is 6144mb * 2), which is also the first time in geforce series
to sum up, NV has given Titan and Titan black a price of $999, and Titan z a price of $2999. Whether it is worth it or not depends on how you understand Titan Series.
the latest is Titan x, the single core strongest GPU, which is the same level as AMD's top flagship
Titan has gone beyond flagship
Titan's dominant frequency is not high because of its powerful parameters
it's consumer grade. It's just a price of ten or twenty thousand, and ordinary people can't afford it
In the final analysis, pricing is still the behavior of manufacturers, but pricing is not arbitrary, but has a certain basis
Titan Series is a very significant series in the recent geforce series of NV graphics cards, including Titan, Titan black and Titan Z
Why do you say that
Instead of the traditional GTX + number naming, Titan is directly used There is a saying to commemorate Titan, the world's first supercomputer in computing power at that time. Titan used several NV Tesla computing cards.)complete double precision floating-point computing performance, and the double precision floating-point computing performance in geforce Series graphics cards will generally be reced. Titan's double precision floating-point computing performance is completely the same as that of Tesla computing card of the same specification at that time, and the price of Tesla computing card is generally no less than $3000
unprecedented 6144mb video memory (Titan Z is 6144mb * 2), which is also the first time in geforce series
to sum up, NV has priced Titan and Titan black at $999, and Titan Z at $2999. Whether it is worth it or not depends on how you understand Titan series< br />