30603060ti calculation force
Publish: 2021-04-17 16:38:59
1. 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.
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.
2. 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)
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)
3. Here we are talking about the high-frequency 980ti
single precision floating-point operation capacity of about 7400g flops
double precision floating-point operation capacity of about 235g flops (double precision is 32 times of single precision)
video memory write speed and read speed of about 12gb / S, speed of about 210gb / s
each 980ti parameter is different, this value is only for reference. It's about that level.
single precision floating-point operation capacity of about 7400g flops
double precision floating-point operation capacity of about 235g flops (double precision is 32 times of single precision)
video memory write speed and read speed of about 12gb / S, speed of about 210gb / s
each 980ti parameter is different, this value is only for reference. It's about that level.
4. This is definitely a loss.
recently, I saw a test that the rtx3070 notebook only earns 1.2 yuan an hour.
1050ti computing power is less than 1 / 4 of 3070, which is about 24%
power consumption is 35% of 3070.
energy consumption is not cost-effective. One hour's income is definitely less than 1 yuan, except for the electricity charge. Once the loss of notebook is eliminated, it is definitely a loss
recently, I saw a test that the rtx3070 notebook only earns 1.2 yuan an hour.
1050ti computing power is less than 1 / 4 of 3070, which is about 24%
power consumption is 35% of 3070.
energy consumption is not cost-effective. One hour's income is definitely less than 1 yuan, except for the electricity charge. Once the loss of notebook is eliminated, it is definitely a loss
5. It is puzzling to ask questions, highlighting the weak cultural foundation of the subject
what kind of computing power is it? Mining, video coding, or game rendering
as a low-end game graphics card, how can its computing power in game rendering be zero
it's impossible to think about it with your toes or buttocks.
what kind of computing power is it? Mining, video coding, or game rendering
as a low-end game graphics card, how can its computing power in game rendering be zero
it's impossible to think about it with your toes or buttocks.
6. Change the system, it is estimated that you use win10 professional version, change win7
7. Use this to dig... 30 on average, normal range. Vega 56, which is cheaper than Vega 56, has an average of 40... The lowest default is 34
8. bitcoin does not have the risk of theft, as long as there is a code on the line, the account can be changed at will, can be said to be the most perfect currency, and more valuable than all the money. It's said that a few bitcoins can buy the whole of China.
9. What are you talking about? The 2060s is the main force. Your collocation is obviously that the 2080s is the main force plus a 2060. I think it's almost the same as the 2080ti. It's impossible to defeat.
10. It's because the performance and cost performance of the 3060ti graphics card are very good, so it's not available.
everyone wants to buy this graphics card with high cost performance and strong performance, but the current proction and shipment volume is relatively small, so they can't buy it.
for i510400f, choose a graphics card of about 1500 yuan, such as ASUS or MSI,
the motherboards of these two brands are worth buying and trustworthy!
everyone wants to buy this graphics card with high cost performance and strong performance, but the current proction and shipment volume is relatively small, so they can't buy it.
for i510400f, choose a graphics card of about 1500 yuan, such as ASUS or MSI,
the motherboards of these two brands are worth buying and trustworthy!
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