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Mining with Tesla calculation card

Publish: 2021-04-26 01:11:20
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:

{rrrrrrr}

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.

If you are really interested in lending me ten yuan, let's go to Alibaba cloud to try

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4. Mining is possible, but the cost is too high, about four times higher

we are Lidai daili, we have a problem
5. Yes, the cost is too high, at least four times more

we are Lidai daili. We have a problem
6.

1. NVIDIA Tesla c2070 is not a graphics card like gtx590. The correct name is & quot; Operation GPU & quot;, It already has the function of CPU, so the platform it builds & quot; Can no longer & quot; It needs traditional CPU such as Intel and AMD as CPU (as shown in the figure)

2. Compared with the traditional super graphics workstation (server), its price is much cheaper. As shown in the figure, if we use the platform composed of four nvidiateslac270 (realizing the super graphics platform of four cores + 4gpu + 4x6ggddr5 memory + video memory), it only costs about RMB 100000, If it's a common platform of the same level (a 4-core SNB architecture of the most powerful CPU, two NVIDIA quadro6000 professional graphics cards constitute SLI, 24g memory), the price is much more expensive.

3. Tesla c2070 can also be used as a common graphics card in the pci-e16x slot of a common computer, but it's a design based on a professional graphics card, The game performance is much slower than gtx590, but the graphics rendering ability (autocad3d, 3dsmax, Maya) is more than 10 times faster than gtx590

7.

It's not that many GPU chips are expensive (of course, there are also many GPU cards). The main cost of Tesla card is the materials. You can see an article I wrote:

50000-60000 for a graphics card? Why is Tesla computing card so expensive

8.

Difference:

1. The biggest difference is that Tesla is a computing card and has no graphics output function

The common graphics card can be regarded as graphics card. Tesla computing card belongs to computing card

3. Tesla computing card is suitable for complex computing with large data, such as weather forecast and other large computing data, and its budget performance is even much better than x-core CPU. Its essential function is similar to that of CPU. CPU = controller + arithmetic unit

expand knowledge:

Tesla GPU's 20 series proct family is based on the next generation CUDA architecture code named Fermi, which supports many "essential" features of technology and enterprise computing, including C + + support, ECC memory with extremely high precision and scalability, and double precision performance seven times higher than Tesla 10 series GPU

The 20 series proct family of Tesla GPU is based on the next generation CUDA architecture code named Fermi, which supports many "essential" features of technology and enterprise computing, including C + + support, ECC memory with high precision and scalability, and double precision performance 7 times higher than that of Tesla 10 series GPU. Tesla? The purpose of c2050 and c2070 GPU is to redefine high performance computing and realize the popularization of supercomputing

compared with the latest four core CPU, Tesla c2050 and c2070 can achieve the same supercomputing performance at one tenth of the cost and one twentieth of the power consumption

video card (graphics card), also known as display adapter, is the most basic configuration and one of the most important accessories of computer. 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 image processing ability, which can help the CPU work and improve the overall running speed

for people 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

9. Die this heart... It won't be of any use.. NVIDIA maximus technology allows Tesla and Quadro to work together.. But this only happens when the application supports it Quadro is responsible for the display, Tesla is responsible for the calculation)

the game will not support this technology.... So give up.. This technical support is only available in a few professional applications..
10. Tesla computing card is for large-scale computing. The performance of a high-performance floating-point computing card is much higher than that of a multi-core CPU. If the economy permits, we can start with it, but it will be very expensive. The second-hand one is more than 3000 yuan, and the new one is estimated to be more than 5000 yuan. You can refer to some parameters of NVIDIA official website to select. Generally speaking, as long as you download the official driver, you can almost achieve the performance you want.
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