More computing power improves mining efficiency
Publish: 2021-04-05 17:51:23
1. I've already bought it. I bought it on July 30, and I can participate in the bonus of the test network. As for why I bought it, it's mainly because of high mining efficiency. If you don't understand, you can continue to ask me
2. The unit of mining efficiency is generally hash / s, that is, the amount of hash value that can be obtained per second. GPU can reach the level of megahash / s.
gtx1060 mining computing power reaches 18.7mh/s, which is a little behind rx470 mining computing power of 22.4mh/s
gtx1060 mining computing power reaches 18.7mh/s, which is a little behind rx470 mining computing power of 22.4mh/s
3. The computing power and block output of the whole network can be found in
http://www.taobtc.net/
look at
1. First of all, as a node mine pool, the mine pool construction itself needs to add node files, which show the number of connections under the bitcoin wallet. After adding nodes, the number of connections can reach dozens or even more, depending on how many nodes you add, effectively recing invalid share
2. How to fix the calculation difficulty of mining equipment for miners? Set it in your mining equipment startup bat
for example, if your single mining equipment is 10g, you can add
/ 1000 + 10 after the user name (wallet address) in the bat file. For example,
- U
/ 1000 + 10
- P
1 in my bat, what does that mean? That is to say, your device is 10g computing power, and you use a fixed difficulty of 10G for mining in P2P pool. If you are a 1g device, write / 1000 + 1 at the back, so the difficulty is fixed and the efficiency of the device is effectively improved.
http://www.taobtc.net/
look at
1. First of all, as a node mine pool, the mine pool construction itself needs to add node files, which show the number of connections under the bitcoin wallet. After adding nodes, the number of connections can reach dozens or even more, depending on how many nodes you add, effectively recing invalid share
2. How to fix the calculation difficulty of mining equipment for miners? Set it in your mining equipment startup bat
for example, if your single mining equipment is 10g, you can add
/ 1000 + 10 after the user name (wallet address) in the bat file. For example,
- U
/ 1000 + 10
- P
1 in my bat, what does that mean? That is to say, your device is 10g computing power, and you use a fixed difficulty of 10G for mining in P2P pool. If you are a 1g device, write / 1000 + 1 at the back, so the difficulty is fixed and the efficiency of the device is effectively improved.
4.
Recently, the price of bitcoin continued to rise, reaching a maximum of US $41000. According to Mr. Liu, the manager of the mine, recently some customers have asked for additional orders, but the output of the mining machinery manufacturers is insufficient and they can't get a large number of mining machinery. Now they have to wait five months or more. Most of his customers have increased their positions in the middle of this year. At present, the prices of mainstream mining machines vary from 30000 to 60000, Mining takes about 12 months to recover the cost
therefore, if people really have mining ideas, they should not be dazzled by the impulse of the moment, and they should try to do it slowly. Today, the price of bitcoin continues to rise, largely because many mainstream investment institutions or investors begin to be interested in digital assets and begin to hoard bitcoin
bitcoin investment has great risks, the phenomenon of sharp rise and fall is not uncommon, and there are not a few people who have lost all their money. Therefore, it is not advisable to follow blindly and keep calm in investment
{rrrrrrr}
extended data
bitcoin plummeted by more than 10%:
earlier on January 11, bitcoin once fell to $37000 / piece, the lowest to $35141, and the biggest drop in the day was more than 10%. According to the data of bitcoin home.com, the amount of burst positions in the past 24 hours reached US $1.165 billion (about RMB 7.530 billion), and a total of 115138 people burst positions within 24 hours
for the sudden drop, some netizens said: "what should come will come.". Cautious investors said that such a high position, I first clearance, short about
5. Cloud Computing: one of the three carriages enabling the future
cloud computing, big data and artificial intelligence are known as the three carriages driving the future and enabling the real economy! At present, 48 of fortune's top 50 companies have publicly announced their cloud deployment plans, and the IT departments of many of them have widely used cloud services
Adobe's market value has increased by 10 times in the past nine years when it transformed into SaaS service; In the nine years since its listing, the market value of salesforce has increased by 30 times. Microsoft's revenue in the third quarter was US $30.6 billion, and cloud computing became the biggest contributor to the revenue growth of Microsoft's business. The revenue of intelligent cloud services sector reached US $9.7 billion, an increase of 22%<
according to the data report given by canalys, a research institution, the global cloud computing market in 2018 exceeded US $80 billion, reaching US $80.4 billion, with a year-on-year growth of 46.5%. In 2018, AWS had a revenue of US $25.4 billion, accounting for 31.7% of the market share, while Microsoft azure ranked second in the market, with an annual revenue of US $13.5 billion and a market share of 16.8%. In addition, according to the latest report released by Bain company, the size of the global cloud computing market is expected to rise to US $390 billion by 2020, with a compound annual growth rate (CAGR) of 17%, Forbes Online reported. The global cloud computing market scale accounts for 0.37% of GDP, while the domestic cloud computing market scale accounts for only 0.13% of GDP in the same period
China has a consumer Internet giant with the same strength as the United States, but it is several times different from the instrial Internet. With the disappearance of Internet demographic dividend, the dividend of domestic 2C consumer Internet users has subsided, and 2b instrial Internet is on its way, the troika of cloud computing, big data and artificial intelligence, It will witness the development of instrial Internet and usher in its own golden development. Instrial Internet acceleration, technology empowerment, China's 100 billion cloud computing market is waiting for its cultivators<
Cloud Computing: Top 10 development trends
here is a list of top 10 forecasts of the development trend of cloud computing instry in 2019 made by practitioners, analysts and enterprise decision-makers in the cloud computing instry for your reference<
participating in IDC circle: Top Ten Trends of cloud computing in 2019: cloud has become the main way to obtain artificial intelligence
1. Extensive use of intelligent decision-making has become an advanced symbol of enterprises
artificial intelligence has stepped out of the "entertainment world" and started to widely assist human decision-making in enterprise operation
in the future, whether an enterprise is advanced or not, one of the main measurement indicators is the proportion of intelligent assistance employees (not only serving executives) to make decisions. Cloud is no longer an issue discussed by technology circle, but more concerned by enterprise decision-makers
it is more urgent for enterprises to use artificial intelligence and other technologies for business innovation than ever before. At the same time, cloud based intelligent business will also trigger organizational change
2. Enterprises will graally give up the self built it infrastructure and move to the public cloud, resulting in "cloud based native enterprises"
the infrastructure of Netflix, an American video website, has been relocated to Amazon AWS. A small number of Chinese enterprises have realized such overall cloud relocation in 2018, and it is expected that a large number of cases of such overall cloud relocation will emerge in 2019
the cloud of means of proction means the opening of a new era
3. Cloud has become the most important path for enterprises to acquire AI
cloud naturally solves the unification of enterprise data and technology, and constitutes the most important path for enterprises to acquire AI capability< At present, public cloud platform has become the most important channel for customers to obtain AI services at low cost
in the business field, artificial intelligence technology that has been verified by cloud service providers' own business is favored by enterprise decision makers<
4. Hardware cloud service providers graally bid farewell to the public cloud market
in 2018, the traditional hardware start-ups encountered collective acclimatization in the era of public cloud
IBM's share of cloud computing has declined. Before that, HP, Cisco, Fujitsu and other enterprises had setbacks in entering the public cloud market with the help of open source openstack technology. The analysis shows that the hardware manufacturers' failure in the public cloud market lies in their failure to understand the nature of cloud computing
the essence of cloud computing is not a "computer" but a service. In addition, such enterprises are almost perfectly wrong with the Internet era. As a result, the hardware genes of the above-mentioned manufacturers are so powerful and the existing businesses are so successful that they are faced with the "innovator's dilemma"
5. The public cloud market is further concentrated
according to the statistics of authoritative market research institutions Gartner and IDC, four manufacturers, including Amazon AWS, Microsoft azure, Alibaba cloud and Google cloud, have become the leading forces in the global public cloud market, and their revenue growth rates are far faster than the average growth of the instry
Goldman Sachs, a Wall Street investment bank, predicts that Amazon, Microsoft, Alibaba and other giants will occupy about 84% of the core cloud computing market in 2019. These companies are significantly ahead of their competitors in talent, technology, operation, service, capital, ecology and other aspects. It can be predicted that the global cloud computing market concentration will be further improved in 2019, and will be more significant in the next few years
6. Enterprises prefer full stack solutions
in the past year, with the accelerated penetration of intelligent technology in the business field, many enterprises have realized intellectualization in some business links
however, more and more CEOs prefer comprehensive solutions than artificial intelligence technology to enhance a certain business or link. This kind of solution can not only realize the data of the company's business, but also provide a set of verified intelligent tools to help enterprises realize intelligent decision-making
in 2019, more comprehensive intelligent solutions will continue to appear and be welcomed by the market
7. Enterprises embrace cloud computing for security
in the past, security has become an obstacle
when many enterprises choose whether to go to the cloud, the most important concern is security, not only for their own information security, but also for the stability of business systems. However, with the digital transformation of the whole society, all kinds of business operations of enterprises will inevitably touch the Internet. In order to seek business security, they begin to become the driving factors for enterprises to actively go to the cloud
cloud computing manufacturers have a strong security team to serve too many types of customers, which can enable enterprises to obtain a strong security protection capability at low cost, which has changed the investment habits of enterprises in security in the past< After more than 10 years of development, cloud computing technology has graally matured, and the enterprise's acceptance of cloud computing is also further improved
as cloud computing can bring obvious utility to enterprise IT operation and business innovation, cloud computing has become the norm of enterprises
in 2019, the whole society will put more and more budget into the field of cloud computing, which will further enhance the proportion of cloud computing in the overall it expenditure. Goldman Sachs, a Wall Street investment bank, predicts that the market penetration rate of cloud computing will exceed 10% for the first time in 2019, and it will jump to 15% by 2021. This means that cloud computing will further erode enterprise IT spending and enhance its influence in the IT market< M & A activities in cloud computing instry will be more frequent
in 2018, there are many large-scale M & A transactions in the field of cloud computing, which are divided into different fields such as chip, security, artificial intelligence, developer community, cloud solutions, etc
in order to maintain the rapid growth, the mainstream cloud computing manufacturers need to launch more high value-added procts or services, and constantly expand the scale of paying customer groups. Mergers and acquisitions have become a means to achieve rapid results.
cloud computing, big data and artificial intelligence are known as the three carriages driving the future and enabling the real economy! At present, 48 of fortune's top 50 companies have publicly announced their cloud deployment plans, and the IT departments of many of them have widely used cloud services
Adobe's market value has increased by 10 times in the past nine years when it transformed into SaaS service; In the nine years since its listing, the market value of salesforce has increased by 30 times. Microsoft's revenue in the third quarter was US $30.6 billion, and cloud computing became the biggest contributor to the revenue growth of Microsoft's business. The revenue of intelligent cloud services sector reached US $9.7 billion, an increase of 22%<
according to the data report given by canalys, a research institution, the global cloud computing market in 2018 exceeded US $80 billion, reaching US $80.4 billion, with a year-on-year growth of 46.5%. In 2018, AWS had a revenue of US $25.4 billion, accounting for 31.7% of the market share, while Microsoft azure ranked second in the market, with an annual revenue of US $13.5 billion and a market share of 16.8%. In addition, according to the latest report released by Bain company, the size of the global cloud computing market is expected to rise to US $390 billion by 2020, with a compound annual growth rate (CAGR) of 17%, Forbes Online reported. The global cloud computing market scale accounts for 0.37% of GDP, while the domestic cloud computing market scale accounts for only 0.13% of GDP in the same period
China has a consumer Internet giant with the same strength as the United States, but it is several times different from the instrial Internet. With the disappearance of Internet demographic dividend, the dividend of domestic 2C consumer Internet users has subsided, and 2b instrial Internet is on its way, the troika of cloud computing, big data and artificial intelligence, It will witness the development of instrial Internet and usher in its own golden development. Instrial Internet acceleration, technology empowerment, China's 100 billion cloud computing market is waiting for its cultivators<
Cloud Computing: Top 10 development trends
here is a list of top 10 forecasts of the development trend of cloud computing instry in 2019 made by practitioners, analysts and enterprise decision-makers in the cloud computing instry for your reference<
participating in IDC circle: Top Ten Trends of cloud computing in 2019: cloud has become the main way to obtain artificial intelligence
1. Extensive use of intelligent decision-making has become an advanced symbol of enterprises
artificial intelligence has stepped out of the "entertainment world" and started to widely assist human decision-making in enterprise operation
in the future, whether an enterprise is advanced or not, one of the main measurement indicators is the proportion of intelligent assistance employees (not only serving executives) to make decisions. Cloud is no longer an issue discussed by technology circle, but more concerned by enterprise decision-makers
it is more urgent for enterprises to use artificial intelligence and other technologies for business innovation than ever before. At the same time, cloud based intelligent business will also trigger organizational change
2. Enterprises will graally give up the self built it infrastructure and move to the public cloud, resulting in "cloud based native enterprises"
the infrastructure of Netflix, an American video website, has been relocated to Amazon AWS. A small number of Chinese enterprises have realized such overall cloud relocation in 2018, and it is expected that a large number of cases of such overall cloud relocation will emerge in 2019
the cloud of means of proction means the opening of a new era
3. Cloud has become the most important path for enterprises to acquire AI
cloud naturally solves the unification of enterprise data and technology, and constitutes the most important path for enterprises to acquire AI capability< At present, public cloud platform has become the most important channel for customers to obtain AI services at low cost
in the business field, artificial intelligence technology that has been verified by cloud service providers' own business is favored by enterprise decision makers<
4. Hardware cloud service providers graally bid farewell to the public cloud market
in 2018, the traditional hardware start-ups encountered collective acclimatization in the era of public cloud
IBM's share of cloud computing has declined. Before that, HP, Cisco, Fujitsu and other enterprises had setbacks in entering the public cloud market with the help of open source openstack technology. The analysis shows that the hardware manufacturers' failure in the public cloud market lies in their failure to understand the nature of cloud computing
the essence of cloud computing is not a "computer" but a service. In addition, such enterprises are almost perfectly wrong with the Internet era. As a result, the hardware genes of the above-mentioned manufacturers are so powerful and the existing businesses are so successful that they are faced with the "innovator's dilemma"
5. The public cloud market is further concentrated
according to the statistics of authoritative market research institutions Gartner and IDC, four manufacturers, including Amazon AWS, Microsoft azure, Alibaba cloud and Google cloud, have become the leading forces in the global public cloud market, and their revenue growth rates are far faster than the average growth of the instry
Goldman Sachs, a Wall Street investment bank, predicts that Amazon, Microsoft, Alibaba and other giants will occupy about 84% of the core cloud computing market in 2019. These companies are significantly ahead of their competitors in talent, technology, operation, service, capital, ecology and other aspects. It can be predicted that the global cloud computing market concentration will be further improved in 2019, and will be more significant in the next few years
6. Enterprises prefer full stack solutions
in the past year, with the accelerated penetration of intelligent technology in the business field, many enterprises have realized intellectualization in some business links
however, more and more CEOs prefer comprehensive solutions than artificial intelligence technology to enhance a certain business or link. This kind of solution can not only realize the data of the company's business, but also provide a set of verified intelligent tools to help enterprises realize intelligent decision-making
in 2019, more comprehensive intelligent solutions will continue to appear and be welcomed by the market
7. Enterprises embrace cloud computing for security
in the past, security has become an obstacle
when many enterprises choose whether to go to the cloud, the most important concern is security, not only for their own information security, but also for the stability of business systems. However, with the digital transformation of the whole society, all kinds of business operations of enterprises will inevitably touch the Internet. In order to seek business security, they begin to become the driving factors for enterprises to actively go to the cloud
cloud computing manufacturers have a strong security team to serve too many types of customers, which can enable enterprises to obtain a strong security protection capability at low cost, which has changed the investment habits of enterprises in security in the past< After more than 10 years of development, cloud computing technology has graally matured, and the enterprise's acceptance of cloud computing is also further improved
as cloud computing can bring obvious utility to enterprise IT operation and business innovation, cloud computing has become the norm of enterprises
in 2019, the whole society will put more and more budget into the field of cloud computing, which will further enhance the proportion of cloud computing in the overall it expenditure. Goldman Sachs, a Wall Street investment bank, predicts that the market penetration rate of cloud computing will exceed 10% for the first time in 2019, and it will jump to 15% by 2021. This means that cloud computing will further erode enterprise IT spending and enhance its influence in the IT market< M & A activities in cloud computing instry will be more frequent
in 2018, there are many large-scale M & A transactions in the field of cloud computing, which are divided into different fields such as chip, security, artificial intelligence, developer community, cloud solutions, etc
in order to maintain the rapid growth, the mainstream cloud computing manufacturers need to launch more high value-added procts or services, and constantly expand the scale of paying customer groups. Mergers and acquisitions have become a means to achieve rapid results.
6. At present, the computing power of P2P pool nodes in the whole network is about 20t, but the actual utilization rate is only 10-15t, which wastes a lot of computing power
the computing power and block output of the whole network can be seen here http://www.taobtc.net/
a lot of computing power is wasted. The reason for this is also from the structure of the P2P pool. The P2P pool node will automatically adjust the difficulty of the pool according to the computing power of the workers' mining equipment. This process is quite fast, and the difficulty will be adjusted every few minutes, As a result, the mining equipment is easy to report errors, that is, it generates a lot of R, which reces the efficiency. The P2P pool is a PPLNs mode. You need to submit an effective share to get profit. After submitting an effective share, you can get all the blocks generated within 24 hours. The difficulty of effective share is relatively large. What I reflected in my pool is that 1g of computing power can't dig effective share at all
how to improve the efficiency of P2P pool
1. First of all, as a node mine pool, the mine pool construction itself needs to add node files, showing the number of connections under the bitcoin wallet. After adding nodes, the number of connections can reach dozens or even more, depending on how many nodes you add, effectively recing invalid share
2. How to fix the calculation difficulty of mining equipment for miners? Set it in your mining equipment startup bat
for example, if your single mining equipment is 10g, you can add
/ 1000 + 10 after the user name (wallet address) in the bat file. For example,
- U
/ 1000 + 10
- P
1 in my bat, what does that mean? That is to say, your device is 10g computing power, and you use a fixed difficulty of 10G for mining in P2P pool. If you are a 1g device, write / 1000 + 1 at the back, so the difficulty is fixed and the efficiency of the device is effectively improved.
the computing power and block output of the whole network can be seen here http://www.taobtc.net/
a lot of computing power is wasted. The reason for this is also from the structure of the P2P pool. The P2P pool node will automatically adjust the difficulty of the pool according to the computing power of the workers' mining equipment. This process is quite fast, and the difficulty will be adjusted every few minutes, As a result, the mining equipment is easy to report errors, that is, it generates a lot of R, which reces the efficiency. The P2P pool is a PPLNs mode. You need to submit an effective share to get profit. After submitting an effective share, you can get all the blocks generated within 24 hours. The difficulty of effective share is relatively large. What I reflected in my pool is that 1g of computing power can't dig effective share at all
how to improve the efficiency of P2P pool
1. First of all, as a node mine pool, the mine pool construction itself needs to add node files, showing the number of connections under the bitcoin wallet. After adding nodes, the number of connections can reach dozens or even more, depending on how many nodes you add, effectively recing invalid share
2. How to fix the calculation difficulty of mining equipment for miners? Set it in your mining equipment startup bat
for example, if your single mining equipment is 10g, you can add
/ 1000 + 10 after the user name (wallet address) in the bat file. For example,
- U
/ 1000 + 10
- P
1 in my bat, what does that mean? That is to say, your device is 10g computing power, and you use a fixed difficulty of 10G for mining in P2P pool. If you are a 1g device, write / 1000 + 1 at the back, so the difficulty is fixed and the efficiency of the device is effectively improved.
7. Supercomputer has strong computing power because it can not be measured by an ordinary computer, because it is a cluster of computers
supercomputing chip is different from mining machine chip. If we say that the comprehensive operation efficiency is certainly high, but the instructions of supercomputing chip are very complex, and mining machine chip is optimized to only execute bitcoin operation instructions. It costs a lot of electricity, and its efficiency is not as high as mine machinery
supercomputers are not suitable for bitcoin mining. Bitcoin mining machines are loaded with a lot of graphics cards, suitable for large-scale parallel computing, mining efficiency is very high. But supercomputers are different! Supercomputers are not designed for mining, which is less efficient than bitcoin. If we want to compare the computing power of global mines, we need to pay more, which is obviously not cost-effective
the Xueshuo innovation blockchain Technology Workstation of Lianqiao ecation online is the only approved "blockchain Technology Specialty" pilot workstation of "smart learning workshop 2020 Xueshuo innovation workstation" launched by the school planning, construction and development center of the Ministry of ecation of China. Based on providing diversified growth paths for students, the professional station promotes the reform of the training mode of the combination of professional degree research, proction, learning and research, and constructs the applied and compound talent training system.
supercomputing chip is different from mining machine chip. If we say that the comprehensive operation efficiency is certainly high, but the instructions of supercomputing chip are very complex, and mining machine chip is optimized to only execute bitcoin operation instructions. It costs a lot of electricity, and its efficiency is not as high as mine machinery
supercomputers are not suitable for bitcoin mining. Bitcoin mining machines are loaded with a lot of graphics cards, suitable for large-scale parallel computing, mining efficiency is very high. But supercomputers are different! Supercomputers are not designed for mining, which is less efficient than bitcoin. If we want to compare the computing power of global mines, we need to pay more, which is obviously not cost-effective
the Xueshuo innovation blockchain Technology Workstation of Lianqiao ecation online is the only approved "blockchain Technology Specialty" pilot workstation of "smart learning workshop 2020 Xueshuo innovation workstation" launched by the school planning, construction and development center of the Ministry of ecation of China. Based on providing diversified growth paths for students, the professional station promotes the reform of the training mode of the combination of professional degree research, proction, learning and research, and constructs the applied and compound talent training system.
8. Hello, your problem, I seem to have encountered before, the following is my original solution ideas and methods, hope to help you, if there is a mistake, please forgive me“ Computing power (also known as hash rate) is the unit of measurement of bitcoin network processing power, that is, the speed at which the computer (CPU) calculates the output of hash function. In mining, the better the computing power, the faster the mining speed of the mining machine. As for the computing experience of the mining platform, it's like you buy an apple, you have to taste it. I bought the machine on the golden hoe platform before. What they gave me was a month's computing experience, which should be high in the mining platform. Thank you very much for your patience. If you have any help, please accept it. I wish you a happy life! thank you!
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