Zcashgpu computing power

1.

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

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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

2. Suggestions: first, the performance of this graphics card is OK, and the low-end graphics card that can share memory with an independent graphics card must be
Second, even if the performance is shared, it will not improve much

3. The same power consumption, that is, the common CPU and GPU within 100 W, the graphics card is gtx1050ti power consumption of 75 W, like gtx1060 power consumption of 130 W, the CPU can be i7 six core 12 thread level, or the CPU performance is dedicated to data processing, the performance is relatively strong,
if you exclude the power consumption, the high-end single chip computing performance has already exceeded the CPU speed.

4. Constellation badge can be obtained by mining and doing tasks]
Aries clothing = constellation badge + sheep BAABAA (sheep Baa Baa is bought in the mall, gold coins × 20)
Gemini clothing = constellation badge + double row chocolate (double row chocolate can be mined). Pure guess luck)
Leo clothing = constellation badge + love gift box (love gift box mining can get, also can buy from players)
Virgo clothing = constellation badge + snow wool (snow wool can raise sheep, also can buy from other players)
Taurus clothing = constellation badge + Taurus (Taurus can buy in the mall, gold coins) × 2)
Scorpio clothing = constellation badge + Blue Crystal (blue crystal can only be obtained by mining)
Sagittarius clothing = constellation badge + Cupid's arrow (Cupid's arrow can be purchased from other players or sent by your boyfriend / girlfriend)
Capricorn clothing = constellation badge + wool (wool can raise sheep by itself, You can also buy it from other players)
Pisces costume = constellation badge + Aquarium (aquarium can go to mine, open treasure box and buy it from other players)
Aquarius costume = constellation badge + Black T-shaped water pipe + black straight water pipe (two items can be purchased from other players through mining)
I have finished this task for Libra costume and cancer costume. So I forgot what I needed.

5.

Main differences between CPU and GPU:

1. CPU is the central processing unit of computer

GPU is the graphics processor of computer

CPU is a very large-scale integrated circuit, which includes Alu arithmetic logic unit, cache memory and bus

CPU is the core of a computer's control and operation, its main function is to interpret the instructions issued by the computer and process the big data in the computer software

GPU is the abbreviation of image processor. It is a kind of microprocessor which is specially used for PC or embedded device to perform image operation

The work of GPU is similar to that of CPU mentioned above, but not entirely. It is designed to perform complex mathematical and geometric calculations. This game has high requirements in this respect, so many game players also have deep feelings for GPU

so CPU and GPU are two completely different things, they just sound the same

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CPU and GPU are different in design because they are used to deal with different tasks at first, and some tasks are similar to the problems that GPU is used to solve at first, so we use GPU to calculate. The operation speed of GPU depends on how many pupils are employed, and the operation speed of CPU depends on how powerful professors are employed, The professor's ability to deal with complex tasks is very good, but for less complex tasks, it still can't hold many people

of course, today's GPU can also do some slightly complicated work, which is equivalent to upgrading to the level of junior high school students and senior high school students, but it still needs CPU to feed data to the mouth before it can start to work, which is still managed by CPU

6. That is, specific performance / power consumption. GPU is much better than CPU. At the beginning, it was precisely because CPU had to spend a lot of power consumption and transistors on control circuit and cache that GPU was made into independent chip, and further GPGPU.

7.

GPU server is a fast, stable and flexible computing service based on GPU, which is used in video codec, deep learning, scientific computing and other scenarios

the function is: excellent graphics processing ability and high-performance computing ability, providing extreme computing performance, effectively liberating the computing pressure, and improving the computing processing efficiency and competitiveness of procts

8. The 2400g Vega has no video memory, but many mining tools can't run directly with such integrated graphics cards, and even if they can, it's useless. People can connect at least six pieces with a rx560 machine, but 2400g can't be used together at all. A 2400g must correspond to a motherboard, which is much higher than the cost of graphics card.

9. GPU servers are mainly used in AI deep learning, scientific computing, video processing, graphics visualization and other fields. Generally, there are two types of GPU servers. One is that indivials, such as students doing experiments and playing games, can buy a GPU card directly. Doing experiments may need more computing power. One may not be enough, or they can rent it
the second is the studio of the enterprise company. The development of 5g software requires high-performance computing and requires high computing power of GPU. You can choose to rent the physical machine of GPU server. If there is such business in the market, at least Shaolin haitiancheng is operating it
personal opinion, if there is misunderstanding, please don't blame me!!!