What is the Chinese name of BBCT virtual currency
Publish: 2021-05-14 14:14:00
1.
2. Hello, it's called EOS token. It's based on Ethereum token
EOS coin
EOS (Chinese Name: EOS, English Name: EOS, abbreviation: EOS) is a token based on Ethereum released for eos.io blockchain system. Blockone is a new blockchain architecture developed by blockone company, which aims to expand the performance of distributed applications. The goal of EOS project is to achieve a blockchain architecture similar to the operating system supporting applications. The architecture can provide account, identity authentication, database, asynchronous communication and program scheling on hundreds of CPUs or clusters. The ultimate form of this technology is a blockchain architecture, which can support millions of transactions per second, and ordinary users do not need to pay for the use of the blockchain
function of EOS token
the current form of EOS cryptocurrency belongs to ERC 20 smart contract token on Ethereum blockchain. EOS ERC 20 token will be converted into the cryptocurrency available in EOS system 1:1 after the formal launch of EOS blockchain. The EOS system is expected to release the test network in August 2017, and it is expected to take one year for the main network of EOS blockchain to go online. The following application scenarios are introced after the EOS blockchain is officially launched
EOS cryptography currency has three main application scenarios: bandwidth and log storage (hard disk); Calculation and calculation reserve (CPU); State memory (RAM)
both instantaneous and long-term components consume bandwidth and computation. The blockchain system will maintain logs of all messages, which will be downloaded and stored by all complete nodes. With log information, the state of all applications can be reconstructed
the specific application scenario of EOS cryptography currency can be explained as:
receiver payment: customers purchase specific procts from the business, and the sales revenue of these procts will be used to pay the business cost, so as to avoid customers paying for the use of blockchain directly, and will not restrict or prevent enterprises from determining the monetization strategy of their procts
authorization capability: if a blockchain is developed by using EOS software system and its token is held by a ticket holder, it may not need to consume all or part of the available bandwidth immediately. Such a holder can choose to give or rent the unused bandwidth to others
separate transaction costs from token value: if the application owner holds a corresponding amount of tokens, the application can continue to run in a fixed state and bandwidth usage. Developers and users are not affected by price fluctuations in the token market, so they are not price dependent
block reward: each time a block is generated, the eos.io system will reward the block generator with a new token. The system may be configured to limit the reward cap for block procers, so that the total annual increase in token supply does not exceed 5%
community welfare applications: users can choose three community welfare applications, also known as smart contracts. These smart contracts will collect tokens based on the proportion of votes each application receives from the token holder. The elected application or smart contract can be replaced by the smart contract of the newly elected application or token holder
What are the technical advantages of EOS
1. EOS creates a developer friendly underlying platform of blockchain, which is similar to the operating system of blockchain. It has powerful performance, can support multiple applications running at the same time, and can support multiple programming languages at the same time. It provides developers with underlying moles to lower the development threshold, just like Microsoft's windows. Do you think Microsoft is worth money
2. EOS solves the problems of delay and data throughput through parallel chain and dpos. EOS can achieve a processing capacity of one million per second. At present, bitcoin has 7 transactions per second, while Ethereum has 30-40 transactions. This super power of EOS can hang bitcoin and Ethereum. For example, the recent cryptokitties | collect and breed digital cats! This is a very popular eth game. Only one game accounts for about 15% of eth's throughput. If there are seven or eight similar games at the same time, ETH will die. It's scary to think about it. Eth, which can't expand bandwidth, will have great challenges in throughput, and EOS can solve the above problems.
EOS coin
EOS (Chinese Name: EOS, English Name: EOS, abbreviation: EOS) is a token based on Ethereum released for eos.io blockchain system. Blockone is a new blockchain architecture developed by blockone company, which aims to expand the performance of distributed applications. The goal of EOS project is to achieve a blockchain architecture similar to the operating system supporting applications. The architecture can provide account, identity authentication, database, asynchronous communication and program scheling on hundreds of CPUs or clusters. The ultimate form of this technology is a blockchain architecture, which can support millions of transactions per second, and ordinary users do not need to pay for the use of the blockchain
function of EOS token
the current form of EOS cryptocurrency belongs to ERC 20 smart contract token on Ethereum blockchain. EOS ERC 20 token will be converted into the cryptocurrency available in EOS system 1:1 after the formal launch of EOS blockchain. The EOS system is expected to release the test network in August 2017, and it is expected to take one year for the main network of EOS blockchain to go online. The following application scenarios are introced after the EOS blockchain is officially launched
EOS cryptography currency has three main application scenarios: bandwidth and log storage (hard disk); Calculation and calculation reserve (CPU); State memory (RAM)
both instantaneous and long-term components consume bandwidth and computation. The blockchain system will maintain logs of all messages, which will be downloaded and stored by all complete nodes. With log information, the state of all applications can be reconstructed
the specific application scenario of EOS cryptography currency can be explained as:
receiver payment: customers purchase specific procts from the business, and the sales revenue of these procts will be used to pay the business cost, so as to avoid customers paying for the use of blockchain directly, and will not restrict or prevent enterprises from determining the monetization strategy of their procts
authorization capability: if a blockchain is developed by using EOS software system and its token is held by a ticket holder, it may not need to consume all or part of the available bandwidth immediately. Such a holder can choose to give or rent the unused bandwidth to others
separate transaction costs from token value: if the application owner holds a corresponding amount of tokens, the application can continue to run in a fixed state and bandwidth usage. Developers and users are not affected by price fluctuations in the token market, so they are not price dependent
block reward: each time a block is generated, the eos.io system will reward the block generator with a new token. The system may be configured to limit the reward cap for block procers, so that the total annual increase in token supply does not exceed 5%
community welfare applications: users can choose three community welfare applications, also known as smart contracts. These smart contracts will collect tokens based on the proportion of votes each application receives from the token holder. The elected application or smart contract can be replaced by the smart contract of the newly elected application or token holder
What are the technical advantages of EOS
1. EOS creates a developer friendly underlying platform of blockchain, which is similar to the operating system of blockchain. It has powerful performance, can support multiple applications running at the same time, and can support multiple programming languages at the same time. It provides developers with underlying moles to lower the development threshold, just like Microsoft's windows. Do you think Microsoft is worth money
2. EOS solves the problems of delay and data throughput through parallel chain and dpos. EOS can achieve a processing capacity of one million per second. At present, bitcoin has 7 transactions per second, while Ethereum has 30-40 transactions. This super power of EOS can hang bitcoin and Ethereum. For example, the recent cryptokitties | collect and breed digital cats! This is a very popular eth game. Only one game accounts for about 15% of eth's throughput. If there are seven or eight similar games at the same time, ETH will die. It's scary to think about it. Eth, which can't expand bandwidth, will have great challenges in throughput, and EOS can solve the above problems.
3.
Usdt is TEDA currency and cannot be converted into RMB Notice on carrying out self inspection and rectification of payment services for illegal virtual currency transactions all Payment institutions within the jurisdiction shall carry out self inspection and rectification, strictly prohibit providing services for virtual currency transactions, and take effective measures to prevent payment channels from being used for virtual currency transactions
TEDA currency is a virtual currency that links cryptocurrency with legal currency US dollar. Each TEDA coin is symbolically associated with government supported legal tender. TEDA currency is a virtual currency kept in the foreign exchange reserve account and supported by legal tender. This method can effectively prevent the price fluctuation of cryptocurrency. Basically, the value of a TEDA currency is equal to US $1
on January 16, 2018, among the top 50 cryptocurrencies in global value, most of the digital virtual cryptocurrencies suffered a sharp drop in price, but the price of TEDA currency rose against the trend. The price of TEDA was $1.04, up 3.23% from the previous day, with a total market value of $1.69 billion. In addition to TEDA, most virtual currencies, including bitcoin, Ethereum, and lightcoin, have experienced sharp declines
extended information:
in 2017, the regulatory authorities issued the notice on preventing the financing risk of token issuance, which clearly pointed out that financial institutions and non bank payment institutions are not allowed to carry out business related to token issuance financing transactions. All financial institutions and non bank payment institutions shall not directly or indirectly provide procts or services such as account opening, registration, trading, clearing and settlement for token issuance and financing and "virtual currency", nor undertake insurance business related to token and "virtual currency" or include token and "virtual currency" into the scope of insurance liability
the Internet Finance Association of China issued the risk tips on preventing ICO activities in disguised form, calling on consumers and investors to recognize the essence of relevant models, enhance risk prevention awareness, invest rationally, and not blindly follow the trend of speculation. Previously, blockchain technology was once sought after by a number of listed companies and the capital market, but it also led to questions about whether it was over hyped and "stepping on the red line"
4.
man Xingyun is illegal in China. The predecessor of "man Xingyun" is the notorious "cloud smart" pyramid scheme
"cloud smart" and "man Xingyun" and other Ponzi schemes were created by Zhang Jianyun and Lai Caiyun. In the end, these Ponzi schemes were forcefully destroyed by China's regulatory authorities“ In the name of revitalizing the national Internet, listing and issuing original stocks, the "cloud smart" pyramid selling organization has set up a network data platform according to the operation mode of the "Cloud Data Trade" pyramid selling organization
extended information:
according to the founder of manxingyun, manxingyun has 21 million members in the world, half of which are from China. It is known as "the next Alibaba" to be an e-commerce platform. But the actual development mode is to develop a large number of members, let them pay the registration fee back to the company's original shares and electronic currency. Man Xingyun, who has been clamoring to be listed on NASDAQ in the United States, has not been listed until now, which is obviously an original stock fraud. As for man Xingyun's e-money, it is even more fake, that is, the MLM money with blockchain
in July 2018, the headquarters and high-level houses of the group of manspace, a pyramid marketing organization, were banned. About 300 representatives from the Ministry of trade and consumption, the Malaysian company committee, the police, the National Bank and other law enforcement units went to 18 locations associated with the manxingyun group to carry out the crackdown, including the founder of manxingyun group, the residence of Dato srilai Caiyun, the residence of several senior executives and several manxingyun branches
5. Coin an mining pool not only provides mining services, but also provides position rebate services. It allows miners to automatically switch the hash rate to mine the three most profitable supporting coins based on SHA-256 algorithm - bitcoin (BTC), bitcoin cash (BCH) or bitcoin Sv (BSV). This new function can increase the average income of users using this function by 1%. Help miners make more money.
6. Usually within 24 hours of the day. But I think it's very fast. It takes less than an hour at the fastest and half a day at the slowest.
7. [interpretation of new technology of auto home]? What is the most important component of the automatic driving system? Is it a sensor? Is it control software? Or processing chip? Personally, I think at the present stage, the processing chip is the most critical component, and its performance directly affects the quality of the automatic driving system. In the past, the top chip technology has been monopolized by foreign enterprises, but with the rapid catch-up of Chinese chip enterprises in recent years, the situation has changed. Today, let's talk about the level of China's automatic driving chip
● what is the autopilot chip for
although L3 level conditional autonomous vehicles have not yet landed in China, from some vehicles with high-level L2 driving assistance system, we can find that these vehicles are equipped with a large number of sensors to detect obstacles around the vehicle, so as to provide data support for control system decision-making. These sensors include millimeter wave radar, ultrasonic radar, camera and so on. These sensors will generate several GB (1GB = 1024MB = 10242kb) of data per second. The autopilot chip needs to process these data smoothly to ensure that the system can make correct decisions in time, so as to ensure the driving safety of the vehicle
maybe you don't have the concept of gigabytes per second. Here's an example from life. The peak reading speed of a common USB 3.0 interface U disk is close to 200MB / s. It takes about 5 seconds to read 1GB files from this U disk, which shows that the amount of data in GB / S is quite large
automatic driving system needs not only to solve the problem of large flow data transmission, but also to solve the problem of how to deal with these huge amounts of data quickly, and the powerful automatic driving chip is the right key.
● what is the level of foreign autopilot chips
although this article mainly talks about the development of China's autopilot chip, we should know ourselves well and win every battle. Before we examine the local situation, we should first understand the situation abroad. There are only three foreign autopilot chips that can really enter the mass proction car market on a large scale: NVIDIA, Mobileye (now acquired by Intel) and Tesla
among them, Mobileye, which takes a practical route, currently has a market share of more than 70%. The procts on the market are mainly eyeq3 chips (0.256tops, "tops" means trillions of operations per second), which are used in L2 driving assistance system, Unless otherwise specified, the computing power indicated in this paper refers to 8-bit integer computing power) and eyeq4 chip (computing power 2.5tops) with L3 level automatic driving ability. For example, Xiaopeng G3, Weilai ES6 / es8 and GAC new energy aion LX adopt eyeq4 chip as the core of their driving assistance system
compared with the computing power of drive PX Pegasus 320tops, the flagship of NVIDIA's previous generation automatic driving platform, the flagship configuration of the new drive AgX Orin platform has achieved multiple performance growth. In addition, the degree of flexibility of the drive AgX Orin platform is further improved compared with the previous platform, which can meet the requirements of different levels of vehicles from general driving assistance to L5 level fully automatic driving through the increase or decrease of hardware configuration
Tesla autopilot 1.0 system uses one NVIDIA tegra3 chip and one Mobileye eyeq3 chip; Autopilot 2.0 system uses one NVIDIA Tegra Parker chip and one Pascal architecture GPU chip; Autopilot 2.5 system uses two NVIDIA Tegra Parker chips and one Pascal architecture GPU chip
the self-developed FSD chip has been carried on the latest off-line Tesla models. The computing power of a single chip is 72tops. The full self driving computer integrates two FSD chips that work independently. One "hangs" and the other "goes up" immediately, which improves the security and stability of the whole system
of course, in addition to the above three enterprises, there are also many enterprises coveting the cake of autonomous driving chips, including Qualcomm, Xilinx, NXP, etc., but the autonomous driving chips that these enterprises are really going to mass proce cars are not large-scale. Limited to space, I will not introce them here
● the rapid rise of China's automatic driving chip Enterprises. Auto driving chip market is booming, and foreign technology giants rush to land. How about the strength of Chinese enterprises? Now let's take a look< The Cambrian China Science and Technology Co., Ltd. (hereinafter referred to as "Cambrian") is a research group led by Chen Yunji and Chen Tianshi under the Institute of computing technology, Chinese Academy of Sciences. The research group began to study neural network algorithm and chip in 2008, and began to publish research results in 2012
in 2016, diannaoyu, the instruction set of deep learning processor proposed by the above research group, was accepted by isca2016. Experiments show that the chip with this instruction set has two orders of magnitude performance advantages in neural network computing compared with the chip with traditional x86 instruction set. As the research results of the research group tend to mature, China Science and technology Cambrian science and Technology Co., Ltd. was officially established, and began to transform its chip and instruction set to the commercial field. Also in 2016, Cambrian released its first commercial deep learning processor, Cambrian 1a
after talking about the company's life experience, let's take a look at its procts. At present, there are two latest AI chip IP licenses in Cambrian, namely cambrian-1m and cambrian-1h. Cambricon-1m-4k, with the strongest performance index, has 8tops computing power at 1GHz clock frequency; Cambricon-1h8mini, with the weakest performance index, has 0.5tops computing power at 1GHz clock frequency. The detailed force calculation parameters of all models can be seen in the table below
cambricon-1m and cambricon-1h are defined as terminal intelligent processor IP. The applications such as face recognition, fingerprint recognition, obstacle recognition, road sign recognition and so on, which appear on mobile phones or cars, can be accelerated by integrating the above processor IP in the chip
the word "edge" mentioned above comes from "edge computing". Edge computing refers to providing network, storage, computing, application and other capabilities at the end close to intelligent devices (terminals) or data sources (cloud), so as to achieve faster network service response and more secure local data transmission. Edge computing can meet the requirements of real-time business, intelligent applications, security and privacy protection, and provide local intelligent services for users. Siyuan 220 plays the role of improving data security, recing processing delay and optimizing bandwidth utilization in edge computing
at present, Cambrian high computing power chip procts are defined as smart accelerators, which can be used to accelerate AI operations in servers. I believe you've heard that Google's alphago AI robot beat South Korea's world go champion Li Shishi. Behind the alphago AI robot is Google's self-developed TPU chip. The features and applications of Cambrian high computing power chip procts are similar to Google TPU. Of course, they can also be regarded as competitors
the difference is that Siyuan 270-s4 adopts a passive cooling design, with a maximum thermal design power consumption of 70W, and is positioned as a data center accelerator card with higher energy efficiency than that designed by artificial intelligence reasoning. This also means that the card will have a "power wall" setting, that is, when the power consumption of the accelerator card reaches the upper limit of the threshold, the computing power will be reced to ensure lower power consumption and heating
Siyuan 270-f4 is equivalent to "full blood version" Siyuan 270-s4, with a maximum thermal design power consumption of 150W and active cooling by turbofan. Good heat dissipation and sufficient power supply enable Siyuan 270-f4 to give full play to the full performance of Siyuan 270 chip. The positioning of the card is to provide data center level AI computing power for desktop environment. In short, it is a high-performance AI accelerator card for desktop
although Siyuan 270 only uses TSMC's 16nm process, the overall energy consumption ratio is quite good. Although the computing power of a single card is less than that of the latest NVIDIA flagship computing card, the peak computing power of five Siyuan 270-s4 / Siyuan 270-f4 parallel cards can also reach the level of NVIDIA A100. However, the more advanced process of NVIDIA A100 should have certain advantages in energy consumption
among them, Siyuan 100-c is equipped with video and image decoding units and adopts passive cooling mode, with the maximum thermal design power consumption of 110W; Siyuan 100-d is not equipped with video and image decoding unit, and adopts passive cooling mode, with the maximum thermal design power consumption of 75W. At present, Siyuan 100 series procts have been applied in didi cloud and Jinshan cloud in 2019. Didi cloud uses Siyuan 100 card to accelerate the elastic reasoning service, which is used for deep learning reasoning task; Jinshanyun uses Siyuan 100 card to accelerate the application of artificial intelligence such as voice, image and video
what I mentioned above is all about server level computing cards. Does this deviate from the topic of autopilot chip that we should talk about? Not really. As mentioned earlier, Cambrian is currently an enterprise focusing on the development of artificial intelligence chips, and the field of automatic driving is not deeply involved, but there are still some achievements through the cooperation with other domestic partners< The br / > WiseADCU CN1 automatic driving domain controller provides the computing power and the number of sensor connections required for L3 or above level automatic driving system, and realizes the self control of seven key control points of simulation, model, system, architecture, encoding, acceleration, and algorithm.
in fact, e to the weak performance competitiveness of processor procts, Weisheng group has long withdrawn from the competition in the mainstream x86 processor market, leaving Intel and AMD competing in the market. Since the establishment of megacore, it has mastered Viagra's x86 technology, made comprehensive improvement and Optimization on the basis of the latest processor architecture of Viagra at that time, and successively launched zx-a, zx-c, zx-c + and other processor procts
on June 2, the municipal Party committee of science and Technology Innovation Board announced the results of the 33rd review meeting in 2020, and the listing of Cambrian was approved. From acceptance to approval, it took only 68 days for Cambrian to refresh the review speed of science and technology innovation board. Cambrian has become the only AI chip company in A-share market since its listing. The market space in this field is expected to exceed 50 billion US dollars in 2022, with huge development potential. Can Cambrian, which has opened up A-share financing channels, further develop and grow with its unique technical advantages? No one can say for sure, but it is certain that the successful listing of the Cambrian period has won the confidence and hope of many companies engaged in this field, which may usher in the era of Chinese artificial intelligence chips
> horizon robot
OK, after talking about the Cambrian, let's talk about another AI chip enterprise, horizon robot technology research and Development Co., Ltd. (hereinafter referred to as "Horizon"). Horizon is a company founded in 2015 by Yu Kai, former executive vice president of the online Deep Learning Institute, focusing on automatic driving and artificial intelligence chips. Yu Kai is also the originator of Internet autopilot
the horizon established by Yu Kai has always adhered to the direction of combining software and hardware. He believes that algorithms, chips and cloud computing will constitute the three core fulcrums of automatic driving. Compared with the Cambrian period, which focused on building high-performance hardware chips, horizon's business model focused on "algorithm + chip"
● what is the autopilot chip for
although L3 level conditional autonomous vehicles have not yet landed in China, from some vehicles with high-level L2 driving assistance system, we can find that these vehicles are equipped with a large number of sensors to detect obstacles around the vehicle, so as to provide data support for control system decision-making. These sensors include millimeter wave radar, ultrasonic radar, camera and so on. These sensors will generate several GB (1GB = 1024MB = 10242kb) of data per second. The autopilot chip needs to process these data smoothly to ensure that the system can make correct decisions in time, so as to ensure the driving safety of the vehicle
maybe you don't have the concept of gigabytes per second. Here's an example from life. The peak reading speed of a common USB 3.0 interface U disk is close to 200MB / s. It takes about 5 seconds to read 1GB files from this U disk, which shows that the amount of data in GB / S is quite large
automatic driving system needs not only to solve the problem of large flow data transmission, but also to solve the problem of how to deal with these huge amounts of data quickly, and the powerful automatic driving chip is the right key.
● what is the level of foreign autopilot chips
although this article mainly talks about the development of China's autopilot chip, we should know ourselves well and win every battle. Before we examine the local situation, we should first understand the situation abroad. There are only three foreign autopilot chips that can really enter the mass proction car market on a large scale: NVIDIA, Mobileye (now acquired by Intel) and Tesla
among them, Mobileye, which takes a practical route, currently has a market share of more than 70%. The procts on the market are mainly eyeq3 chips (0.256tops, "tops" means trillions of operations per second), which are used in L2 driving assistance system, Unless otherwise specified, the computing power indicated in this paper refers to 8-bit integer computing power) and eyeq4 chip (computing power 2.5tops) with L3 level automatic driving ability. For example, Xiaopeng G3, Weilai ES6 / es8 and GAC new energy aion LX adopt eyeq4 chip as the core of their driving assistance system
compared with the computing power of drive PX Pegasus 320tops, the flagship of NVIDIA's previous generation automatic driving platform, the flagship configuration of the new drive AgX Orin platform has achieved multiple performance growth. In addition, the degree of flexibility of the drive AgX Orin platform is further improved compared with the previous platform, which can meet the requirements of different levels of vehicles from general driving assistance to L5 level fully automatic driving through the increase or decrease of hardware configuration
Tesla autopilot 1.0 system uses one NVIDIA tegra3 chip and one Mobileye eyeq3 chip; Autopilot 2.0 system uses one NVIDIA Tegra Parker chip and one Pascal architecture GPU chip; Autopilot 2.5 system uses two NVIDIA Tegra Parker chips and one Pascal architecture GPU chip
the self-developed FSD chip has been carried on the latest off-line Tesla models. The computing power of a single chip is 72tops. The full self driving computer integrates two FSD chips that work independently. One "hangs" and the other "goes up" immediately, which improves the security and stability of the whole system
of course, in addition to the above three enterprises, there are also many enterprises coveting the cake of autonomous driving chips, including Qualcomm, Xilinx, NXP, etc., but the autonomous driving chips that these enterprises are really going to mass proce cars are not large-scale. Limited to space, I will not introce them here
● the rapid rise of China's automatic driving chip Enterprises. Auto driving chip market is booming, and foreign technology giants rush to land. How about the strength of Chinese enterprises? Now let's take a look< The Cambrian China Science and Technology Co., Ltd. (hereinafter referred to as "Cambrian") is a research group led by Chen Yunji and Chen Tianshi under the Institute of computing technology, Chinese Academy of Sciences. The research group began to study neural network algorithm and chip in 2008, and began to publish research results in 2012
in 2016, diannaoyu, the instruction set of deep learning processor proposed by the above research group, was accepted by isca2016. Experiments show that the chip with this instruction set has two orders of magnitude performance advantages in neural network computing compared with the chip with traditional x86 instruction set. As the research results of the research group tend to mature, China Science and technology Cambrian science and Technology Co., Ltd. was officially established, and began to transform its chip and instruction set to the commercial field. Also in 2016, Cambrian released its first commercial deep learning processor, Cambrian 1a
after talking about the company's life experience, let's take a look at its procts. At present, there are two latest AI chip IP licenses in Cambrian, namely cambrian-1m and cambrian-1h. Cambricon-1m-4k, with the strongest performance index, has 8tops computing power at 1GHz clock frequency; Cambricon-1h8mini, with the weakest performance index, has 0.5tops computing power at 1GHz clock frequency. The detailed force calculation parameters of all models can be seen in the table below
cambricon-1m and cambricon-1h are defined as terminal intelligent processor IP. The applications such as face recognition, fingerprint recognition, obstacle recognition, road sign recognition and so on, which appear on mobile phones or cars, can be accelerated by integrating the above processor IP in the chip
the word "edge" mentioned above comes from "edge computing". Edge computing refers to providing network, storage, computing, application and other capabilities at the end close to intelligent devices (terminals) or data sources (cloud), so as to achieve faster network service response and more secure local data transmission. Edge computing can meet the requirements of real-time business, intelligent applications, security and privacy protection, and provide local intelligent services for users. Siyuan 220 plays the role of improving data security, recing processing delay and optimizing bandwidth utilization in edge computing
at present, Cambrian high computing power chip procts are defined as smart accelerators, which can be used to accelerate AI operations in servers. I believe you've heard that Google's alphago AI robot beat South Korea's world go champion Li Shishi. Behind the alphago AI robot is Google's self-developed TPU chip. The features and applications of Cambrian high computing power chip procts are similar to Google TPU. Of course, they can also be regarded as competitors
the difference is that Siyuan 270-s4 adopts a passive cooling design, with a maximum thermal design power consumption of 70W, and is positioned as a data center accelerator card with higher energy efficiency than that designed by artificial intelligence reasoning. This also means that the card will have a "power wall" setting, that is, when the power consumption of the accelerator card reaches the upper limit of the threshold, the computing power will be reced to ensure lower power consumption and heating
Siyuan 270-f4 is equivalent to "full blood version" Siyuan 270-s4, with a maximum thermal design power consumption of 150W and active cooling by turbofan. Good heat dissipation and sufficient power supply enable Siyuan 270-f4 to give full play to the full performance of Siyuan 270 chip. The positioning of the card is to provide data center level AI computing power for desktop environment. In short, it is a high-performance AI accelerator card for desktop
although Siyuan 270 only uses TSMC's 16nm process, the overall energy consumption ratio is quite good. Although the computing power of a single card is less than that of the latest NVIDIA flagship computing card, the peak computing power of five Siyuan 270-s4 / Siyuan 270-f4 parallel cards can also reach the level of NVIDIA A100. However, the more advanced process of NVIDIA A100 should have certain advantages in energy consumption
among them, Siyuan 100-c is equipped with video and image decoding units and adopts passive cooling mode, with the maximum thermal design power consumption of 110W; Siyuan 100-d is not equipped with video and image decoding unit, and adopts passive cooling mode, with the maximum thermal design power consumption of 75W. At present, Siyuan 100 series procts have been applied in didi cloud and Jinshan cloud in 2019. Didi cloud uses Siyuan 100 card to accelerate the elastic reasoning service, which is used for deep learning reasoning task; Jinshanyun uses Siyuan 100 card to accelerate the application of artificial intelligence such as voice, image and video
what I mentioned above is all about server level computing cards. Does this deviate from the topic of autopilot chip that we should talk about? Not really. As mentioned earlier, Cambrian is currently an enterprise focusing on the development of artificial intelligence chips, and the field of automatic driving is not deeply involved, but there are still some achievements through the cooperation with other domestic partners< The br / > WiseADCU CN1 automatic driving domain controller provides the computing power and the number of sensor connections required for L3 or above level automatic driving system, and realizes the self control of seven key control points of simulation, model, system, architecture, encoding, acceleration, and algorithm.
in fact, e to the weak performance competitiveness of processor procts, Weisheng group has long withdrawn from the competition in the mainstream x86 processor market, leaving Intel and AMD competing in the market. Since the establishment of megacore, it has mastered Viagra's x86 technology, made comprehensive improvement and Optimization on the basis of the latest processor architecture of Viagra at that time, and successively launched zx-a, zx-c, zx-c + and other processor procts
on June 2, the municipal Party committee of science and Technology Innovation Board announced the results of the 33rd review meeting in 2020, and the listing of Cambrian was approved. From acceptance to approval, it took only 68 days for Cambrian to refresh the review speed of science and technology innovation board. Cambrian has become the only AI chip company in A-share market since its listing. The market space in this field is expected to exceed 50 billion US dollars in 2022, with huge development potential. Can Cambrian, which has opened up A-share financing channels, further develop and grow with its unique technical advantages? No one can say for sure, but it is certain that the successful listing of the Cambrian period has won the confidence and hope of many companies engaged in this field, which may usher in the era of Chinese artificial intelligence chips
> horizon robot
OK, after talking about the Cambrian, let's talk about another AI chip enterprise, horizon robot technology research and Development Co., Ltd. (hereinafter referred to as "Horizon"). Horizon is a company founded in 2015 by Yu Kai, former executive vice president of the online Deep Learning Institute, focusing on automatic driving and artificial intelligence chips. Yu Kai is also the originator of Internet autopilot
the horizon established by Yu Kai has always adhered to the direction of combining software and hardware. He believes that algorithms, chips and cloud computing will constitute the three core fulcrums of automatic driving. Compared with the Cambrian period, which focused on building high-performance hardware chips, horizon's business model focused on "algorithm + chip"
8. That's what he said. He said that he would protect the security of his account and avoid people who steal numbers from looking for targets. However, he was already full of losses. It took 10000 yuan to get it back, but now he just went to the end and despised Tencent
there's no chance to earn QB by games. I don't know what's the use of this broken game currency now. It's useless except to look good. I won't go to break the value even if I'm killed
there's no chance to earn QB by games. I don't know what's the use of this broken game currency now. It's useless except to look good. I won't go to break the value even if I'm killed
9. BBCT is a financial trading platform. Generally, many financial institutions trade on it.
10. NVIDIA is a manufacturer of graphics chips as its main procts, and is as famous as ATI in the instry. The English pronunciation is "en Wei Di Ya". It seems that the Chinese name has not been recognized by the instry.
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