1080 graphics card computing power chicken blood patch

1.

21.5 * 3600 seconds * 24 hours = 1857600 M / day
1857600 / 1024 / 1024 = 1.7715 T / day
a t of computing power / day can dig bitcoin worth 4.03 yuan
1.7715 * 4.03 = 7.14 yuan / day

since 2017, bitcoin has reached new heights. Yesterday (May 23), the value of bitcoin broke through the ￥ 16000 mark, hyping virtual currency, becoming a matter that the general public can participate in, And a little bit of technical level, both fried money, but also began to have the technical content of mining

as we all know, virtual currency has a numerical peak, the more difficult it is to dig. In fact, it's hard to judge whether to lose money or not if we continue to dig. Therefore, in the end how to dig, dig what can be the fastest back to this, this paper studies the above two core issues based on the current market situation

2. Lightcoin is 1.8g. The computing power of the whole network is only 8600gh / s, and 1080ti graphics card occupies 1 / 4700
eth is only 32mh / s, 1070 has 40mh / s. Many people say that 1080ti can't pull up the computing power because of the high delay of gddr5x video memory. As expected, it's better to mine with a card. People on the Internet say that 480 can have 65mh / S computing power
Zec, 724sol / s, nearly three 1060 3G, the total price is more expensive than three 1060 2K soft coins. However, compared with the short supply a-card rx4808g, the price of three cards is less than 5K, and the computing power is 900 + sol / s, but it's useless if there is a price but no market
it's too wasteful to use this card for mining. It's just for fun and can't afford to hurt.

3. The unit of mining efficiency is generally hash / s, that is, the amount of hash value that can be obtained per second. GPU can reach the level of megahash / s.
gtx1060 mining computing power reaches 18.7mh/s, which is a little behind rx470 mining computing power of 22.4mh/s

4. The computing power of the project, gtx1080ti, is 6.1 / 3.7, about 1.64 times that of K80
at present, the popular cards for deep learning are rtx2080ti and rtx2070 (multi-channel), and it is not easy to buy more than one of them when gtx1080ti is delisted Second hand another)
* for the deep learning of CUDA platform, the graphics card mainly focuses on: single precision floating-point operation, video memory, tensor core (Turing architecture and volt architecture, RTX series and Titan V)
* in terms of the main stability and some special functions of Tesla, double precision (currently this deep learning is less used), single precision and half precision floating-point operation have little advantage, It's expensive (if you want to surpass gtx1080ti, you need tens of thousands of Tesla V100)

5. 1. The normal calculation power of Ethernet currency is 32, which needs to use software to achieve higher calculation power 39 +
2. The specific calculation power is related to the constitution of your overclocking graphics card, so you can try the official overclocking software

6. 1. Geforce GTX 1070 graphics card
overall power consumption: 220W
2, computing power: 25.7m
graphics card price: 2899 yuan
number of eth g every 24 hours: 0.017
revenue generated every 24 hours: 28.84 yuan
expected payback time: 100.52 days

7. 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:
power consumption: 243w
computing power: 22.4m
price of graphics card: 1999 yuan
number 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
price of graphics card: 1599 yuan
every 24 hours Number of time digging eth: 0.017
revenue generated every 24 hours: 27.9 yuan
expected payback time: 57.31 days
video card of radon RX 480

8. No one uses 1080 or more graphics cards to mine

because the cost performance is too low, the computing power is not improved much, and the price is too expensive.

9. 1. According to the mining software, the larger the value, the faster the "speed" in the software

2. Different mining softwares have different algorithms and ranking.