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Graphics card mining speed

Publish: 2021-04-16 12:09:42
1.

You can refer to the following, according to some commonly used graphics cards in the Internet bar market, sort out the price and calculation power of a related graphics card, as well as the expected return to the current period, It can be used as a reference:

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power consumption: 243w
computing power: 22.4m
price of graphics card: 1999 yuan
quantity of eth g every 24 hours: 0.015
revenue generated every 24 hours: 24.48 yuan
expected payback time: 81.66 days

power consumption: 159w
computing power: 24.3m
price of graphics card: 1599 yuan Yuan
number of eth g every 24 hours: 0.017
revenue generated every 24 hours: 27.9 yuan
estimated payback time: 57.31 days

total power consumption: 171w
computing power: 24.4m
price: 1999 yuan
number of eth g every 24 hours: 0.017
revenue generated every 24 hours: 27.87 yuan
estimated payback time: 71.73 days

< H2 > extended data:

Video card (graphics card) full name display interface card, also known as display adapter, is the most basic configuration of computer, one of the most important accessories. As an important part of the computer host, the graphics card is the equipment of digital to analog signal conversion, and it undertakes the task of output display graphics

the graphics card is connected to the main board of the computer, which converts the digital signal of the computer into an analog signal for the display. At the same time, the graphics card still has the ability of image processing, which can help the CPU work and improve the overall running speed. For those engaged in professional graphic design, graphics card is very important. Civil and military graphics chip suppliers mainly include amd (ultra micro semiconctor) and NVIDIA (NVIDIA). Today's TOP500 computer, including graphics card computing core. In scientific computing, graphics card is called display accelerator

2.

bitcoin was obtained by CPU in the early days. With the continuous development of GPU speed and the emerging advantages of GPU general computing, miners graally began to use GPU instead of CPU for mining. Bitcoin mining uses SHA-256 hash operation, which will carry out a large number of 32-bit integer cyclic right shift operation. Interestingly, this algorithm operation can be implemented by a single hardware instruction in AMD GPU, while it needs three hardware instructions to simulate in NVIDIA GPU. This one alone brings an additional 1.7 times of computing efficiency advantage for AMD GPU. With this advantage, amd GPU is favored by the majority of miners



advise the landlord not to dig up if the budget is not too much!!! This money is not earned if you want to


the difficulty of bitcoin is increasing. Mining with graphics card is a race against time. The main reason is that the difficulty of mining bitcoin is graally increasing (the reason of bitcoin algorithm design). If a set of platforms can get 1 bitcoin per day according to the current difficulty, then in one month, the platforms with the same computing power will only get 0.8 bitcoins, even the top graphics cards will get 18.2 days (which can't be shut down), and the lowest second-hand hd7750 will need more than 400 (it will take 214 days to get one). Just look at this figure (this is the data in May this year, Now it's more than 18 days)

people can earn money by buying several mining machines (mining machines with dozens of top graphics cards piled together)


I hope I can help you

3. There are selling professional mining machine, will not dig with personal computer.. Poor performance.. Unless there's a high-end workstation, but I've never heard of anyone mining with a workstation.. The workstation is not a mining machine. Of course, the faster the better, but it also depends on your budget. High end, you can choose a number of Intel xeone5 series processors, with multiple motherboards.. Low end point can choose Intel Xeon 5600 series or E3 series.. Mining graphics card faster than CPU, professional miner faster than graphics card, so it's better to buy miner.. Besides, it's not easy to make money from mining...
4.

I recommend two: ant G2 graphics card miner, panda B3 plus graphics card miner

ant G2 graphics card miner is used to mark panda's B3 plus graphics card miner. In terms of computing power, they are almost the same. On the one hand, they use the vest card, and on the other hand, they use the rx470 without the vest, both at 220mh / s

5. Alien miner? It should be this one
6. For example: hd7970 shaders 2048 video memory 3G HD5870 shaders 1600 video memory 1g shaders 7970 is 28% more than 5870. If the main frequency of GPU is the same, will the speed of LTC mining 7970 far exceed this 28%? Or simpler: 2G of 5870 video memory and 1g of 5870 video memory (same GPU chip, different size of video memory). If the main frequency of GPU is the same, so is the frequency of video memory. Will the former greatly surpass the latter in mining speed? In addition, will the frequency of video memory affect the speed of LTC mining? What is the relationship between them? Please master a lot of advice!
7. N card has not been used, according to the habit of a card and u, I is to control the priority. The higher the I value, the lower the computer card, the slower the mining, and you can do something else
8.

It depends on the computing power of GPU and CPU instead of the computing speed. Although there is no big difference, because the computing principle of graphics card is different from CPU, and mining needs distributed computing. In this kind of computing, graphics card GPU is better than CPU

9. Now you can't make money from the electricity bill by using the graphics card to mine.
10. Bitcoin was obtained by CPU in the early days. With the continuous development of GPU speed and the emerging advantages of GPU general computing, miners graally began to use GPU instead of CPU for mining
bitcoin mining uses SHA-256 hash operation, which will carry out a large number of 32-bit integer cyclic right shift operations
interestingly, this kind of algorithm operation can be implemented by a single hardware instruction in AMD GPU, while it needs three hardware instructions to simulate in NVIDIA GPU. This alone brings an additional 1.7 times of computing efficiency advantage for AMD GPU.
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