Calculation board HW
the general computing power of the graphics card is a few gigabytes, while the professional miner chip is as high as several thousand gigabytes. Take bm1387, the chip with the lowest power consumption in the world, as an example, the S9's computing power is as high as 14T, the power consumption on the wall is only 1400W, and the rated computing power reaches 13.5 Th / s ± 1 J / GH + 12% (wall, AC / DC 93% efficiency, 25 ° Rated voltage: 11.6 ~ 13.0v, in addition, in the case of non independent power supply, three power calculation boards can be connected to different power supply respectively, but each power calculation board can not be connected to multiple power supply, and ensure that the power calculation board is finally powered on
among the mining machines, ant mining machine is my favorite. At the same time, based on the average investment cost of bitcoin in the early stage, ant S9 can basically recover the capital in about five months, and the income in the later stage is immeasurable.
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mining is definitely the first professional mining machine, many new children's shoes will choose to use graphics card mining, but the graphics card mining is just like using "magic oil" to do a professional thing, but the efficiency is certainly not high. To dig bitcoin, we should pay attention to the following points: first, computing power (i.e. mining speed), second, power consumption, and third, stable performance. Computing power, bitcoin mining is faster than problem-solving speed, so it is self-evident that speed is more important; Power consumption is directly related to efficiency, that is, the issue of cost expenditure; The stability of performance mainly depends on the stability of calculation force when the working frequency is constant. Just think about it, no one wants the miner to lose its computing power every so often, or even break down. After all, it's all money ~
the general computing power of the graphics card is a few gigabytes, while the professional miner chip is as high as several thousand gigabytes. Take bm1387, the chip with the lowest power consumption in the world, as an example, the S9's computing power is as high as 14T, the power consumption on the wall is only 1400W, and the rated computing power reaches 13.5 Th / s ± 1 J / GH + 12% (wall, AC / DC 93% efficiency, 25 ° Rated voltage: 11.6 ~ 13.0v, in addition, in the case of non independent power supply, three power calculation boards can be connected to different power supply respectively, but each power calculation board can not be connected to multiple power supply, and ensure that the power calculation board is finally powered on
among the mining machines, ant mining machine is my favorite. At the same time, based on the average investment cost of bitcoin in the early stage, ant S9 can basically recover the capital in about five months, and the income in the later stage is immeasurable.
The types of chips that provide computing power for AI include GPU, FPGA and ASIC
GPU is a kind of microprocessor specialized in image operation on personal computers, workstations, game machines and some mobile devices (such as tablet computers, smart phones, etc.). It is similar to Cu, except that GPU is designed to perform complex mathematical and geometric calculations, which are necessary for graphics rendering
FPGA can complete any digital device function chip, even high-performance CPU can be implemented with FPGA. In 2015, Intel acquired the FPGA long alter head with us $16.1 billion. One of its purposes is to focus on the development of FPGA's special computing power in the field of artificial intelligence in the future
ASIC refers to the integrated circuits designed and manufactured according to the requirements of specific users or the needs of specific electronic systems. Strictly speaking, ASIC is a special chip, which is different from the traditional general chip. It's a chip specially designed for a specific need. The TPU that Google recently exposed for AI deep learning computing is also an ASIC
extended data:
chips are also called integrated circuits. According to different functions, they can be divided into many kinds, including those responsible for power supply voltage output control, audio and video processing, and complex operation processing. The algorithm can only run with the help of chips, and because each chip has different computing power in different scenarios, the processing speed and energy consumption of the algorithm are also different. Today, with the rapid development of the artificial intelligence market, people are looking for chips that can make the deep learning algorithm perform faster and with lower energy consumption
1. It may be the problem of temperature. Low or high temperature will affect the calculation power of the miner
2. There are problems in the miner itself, which lead to abnormal calculation force
3. The aging of mining machine leads to the decrease of calculation power, and the calculation power of second-hand mining machine is relatively the first
bitcoin, Leyte coin, sand coin and all the mining machines that need mining are like this.
if there is enough memory, win7 will allocate a lot of memory as a cache to avoid frequent disk reading, which is very helpful for the fluency of the game
in fact, many of the jams are caused by disk reading, if the cache is large, many can be avoided