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New card computing power

Publish: 2021-05-07 09:25:47
1.
  1. what model is the graphics card? It is recommended to re install the graphics card driver on the official website of the graphics card brand. The instability of the graphics card driver will also affect the performance of the graphics card

  2. if the driver of this version can not be used normally, you need to contact the official technician to provide the driver file for re installation< br />

2. 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
3. 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.
4. According to a certain software, the value is tested. The larger the value is, the faster the speed will be in the software
it is common in mining software, but the ranking will be different for different algorithms.
5. 1. Mine card generally needs the specified driver version
2. The 382.33 384.76 384.96 driver installed on the official website can't work, only the 382.53 driver can work normally
3. If the driver of this version can not be used normally, you need to contact the official technician to provide the driver file for re installation.
6. Introction: the former name of dark coin, a kind of counterfeit bitcoin, focuses on anonymous function. There are many innovations, such as master node network, fast payment, mixed currency anonymous technology, proposals can vote, and developers have fixed budget support. The core consists of a unique incentive P2P network. Miners are rewarded for maintaining blockchain security; The main node holders are rewarded for verifying transactions, storing data and providing a variety of services. Time of issue: 2014 maximum supply: 18900000 dash total circulation: 7875498dash market value: 5186548619
7. Computing power is a concept put forward by NVIDIA when it released CUDA (Compute Unified Device Architecture, a programming language for GPU, similar to C programming for CPU). Because the graphics card itself is a floating-point computing chip, it can be used as a computing card, so the graphics card has computing power. Different graphics cards have different computing power. In order to show the difference, NVIDIA put forward the corresponding version of computing power x.x on the procts of different periods. Computing power 1.0 appeared on early graphics cards, such as the original 8800 ultra and many 8000 Series cards, as well as Tesla C / D / s870s cards. Cuda1.0 was released corresponding to these graphics cards. Today, computing power 1.0 has been eliminated from the market. Then there was computing power 1.1, which appeared on many 9000 Series graphics cards. Computing power 1.2 appears together with GT200 Series graphics card, while computing power 1.3 is proposed when upgrading from GT200 to GT200 A / b revision. In the future, there will be computing power 2.0, 2.1, 3.0 and other versions. The latest released version is computing power 6.1, which is supported by the latest Pascal architecture graphics card. At the same time, CUDA version is also updated to cuda8.0

ordinary users do not need to care about the computing power of the graphics card, only GPU programmers care about this problem when they write CUDA programs to develop GPU computing. As long as you know the model of your computer's graphics card, you can find the corresponding computing power https://developer.nvidia.com/cuda-gpus .
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