Computing power is both hegemonic

1.

21.5 * 3600 seconds * 24 hours = 1857600 M / day
1857600 / 1024 / 1024 = 1.7715 T / day
a t of computing power / day can dig bitcoin worth 4.03 yuan
1.7715 * 4.03 = 7.14 yuan / day

since 2017, bitcoin has reached new heights. Yesterday (May 23), the value of bitcoin broke through the ￥ 16000 mark, hyping virtual currency, becoming a matter that the general public can participate in, And a little bit of technical level, both fried money, but also began to have the technical content of mining

as we all know, virtual currency has a numerical peak, the more difficult it is to dig. In fact, it's hard to judge whether to lose money or not if we continue to dig. Therefore, in the end how to dig, dig what can be the fastest back to this, this paper studies the above two core issues based on the current market situation

2. According to IDC's "2018-2019 evaluation report on the development of China's artificial intelligence computing power", by 2022, the investment in computing power in the global artificial intelligence market will exceed 17.6 billion US dollars, and the compound growth rate of the market will exceed 30% in the next five years (2018-2022). And computing power will become an important infrastructure in modern society and an important part of China's new infrastructure strategy. Xnmatrix is a new generation of global and decentralized cloud computing platform, and a new infrastructure in the field of digital economy in the Web3.0 intelligent era.

3. It's very high. I've worked in the same instry

4.

CristianoAmon, President of Qualcomm Corp, at the press conference of SnapdragonRide, shows a combination of SoC, accelerator and automatic driving software stack, showing SnapdragonRide (Graphic source CNET/James Martin)

SnapdragonRide, which provides an extensible solution for automobile manufacturers, which can provide support for self driving vehicles in three sub fields, namely

1, L1 / L2 active safety ADAS -- for vehicles with automatic emergency braking, traffic sign recognition and lane keeping assistance

2, L2 + ADAS -- for vehicles that can drive automatically on expressways, support self-service parking, and drive in urban traffic with frequent parking

3, L4 / L5 fully automatic driving -- for automatic driving, unmanned taxi and robot logistics in urban traffic environment

snapdragonride platform is based on a series of different snapdragon SOC and accelerators. It adopts scalable and molar high-performance heterogeneous multi-core CPU, energy-efficient AI and computer vision engine, and GPU

among them, adassoc series and accelerator series adopt heterogeneous computing. At the same time, using the new generation of artificial intelligence engine of Qualcomm, ADAS and SOC can efficiently manage a large amount of data of on-board system

thanks to the combination of these different SOC and accelerators, snapdragonride platform can be equipped according to the needs of different segments of autonomous driving market, and provide good heat dissipation efficiency, from 30tops level equipment for L1 / L2 level applications to 130W power consumption equipment for L4 / L5 level driving with more than 700tops

in addition, the new snapdragonride autopilot software stack is a molar and scalable solution integrated into the snapdragonride platform

according to the introction, the software framework of snapdragonride platform can host customer specific software stack components and snapdragonride autopilot software stack components at the same time

snapdragonride platform also supports passive or air-cooled cooling design, so it can further optimize vehicle design and improve reliability while recing cost

now, arm, blackberry QNX, Infineon, Xinsi technology, elektrobit, and Anson semiconctor have joined the auto driving circle of friends of Qualcomm and become the software / hardware suppliers of snapdragonride auto driving platform

the functional security solutions of arm, the automotive designware interface IP, arc processor IP and starmemory SystemTM of Xinsi technology, the OS Security version and hypervisor Security version of BlackBerry QNX, the aurixtm microcontroller of Infineon, and the ADAS series sensors of Anson semiconctor will be integrated into the automatic driving platform of Qualcomm

elektrobit also plans to cooperate with Qualcomm to jointly develop a new generation AUTOSAR architecture that can be proced on a large scale. Ebcorbos software and snapdragonride autopilot platform will be integrated on this architecture

it is understood that snapdragonride will be delivered to automobile manufacturers and first tier suppliers for preliminary development in the first half of 2020, and according to the estimation of qcomm technologies, the vehicles equipped with snapdragonride will be put into proction in 2023

Second, we have been deeply engaged in the automotive business for many years. Before the release of snapdragonride, we have been deeply engaged in the field of intelligent vehicles for many years

for more than a decade, Qualcomm technologies, a subsidiary of Qualcomm, has been providing advanced wireless communication solutions for GM's connected vehicle applications, including the security applications supported by the Android devices on GM

in the fields of on-board information processing, information audio-visual and in car Internet, the total value of orders of qcomm technologies has exceeded 7 billion US dollars (about 48.7 billion yuan)

according to the information released by Qualcomm at the ces2020 press conference, so far, more than one million vehicles have used the automotive solutions provided by Qualcomm

it is obvious that today, the layout of Qualcomm in the automotive field has taken another step forward

ring ces2020, in addition to snapdragonride, Qualcomm also launched a new car to cloud service, which is expected to be available in the second half of 2020

according to the introction, the car to cloud service built by Qualcomm technologies supports the soft upgrade capability of softsku chip specifications, which can not only help automobile customers meet the changing needs of consumers, but also enable chipsets to be upgraded in the field to support new functions according to new performance requirements or new features

at the same time, softsku also supports customers to develop common hardware, so as to save their special investment for different development projects. By using the cloud softsku of Qualcomm, automobile manufacturers can not only provide a variety of customized services for consumers, but also create rich and immersive in car experience through personalized features

in addition, the car to cloud service of Qualcomm also supports the global cellular connection function, which can be used to guide the initialization service and provide wireless communication connection throughout the life cycle of the car

According to nakul ggal, senior vice president of proct management of Qualcomm technologies, combined with snapdragon's 4G and 5g platforms and snapdragon's digital cockpit platform, Qualcomm's car to cloud service can help automobile manufacturers and first tier suppliers meet the new expectations of contemporary car owners, including flexible and continuous technology upgrading and continuous exploration of new functions throughout the whole automobile life cycle

in addition, Qualcomm technologies also announced on ces2020 that it will continue to deepen its cooperation with general motors. As a long-term partner, GM will support digital cockpit, on-board information processing and ADAS (advanced driving assistance system) through continuous cooperation with Qualcomm technologies

conclusion: Giants raging like a storm in the field of automatic driving, HUAWEI has said before it wants to build intelligent core sensors for automobile, such as lidar and millimeter wave radar. After that, Arm led the establishment of the automatic driving Computing Alliance. Now the mobile chip giant Qualcomm has released a new automatic driving platform, and has made further progress in the field of automobile and automatic driving. <

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game player is concive to the faster and better landing of autopilot cars, but on the other hand, as more hardcore players expand their business boundaries, competition in the market will become more intense. p>

this article comes from the author of car home, which does not represent the standpoint of car home

5. It doesn't seem to sell. I've never sold it

6. The strength of the company is very big, not bad

7. I54590 is a four core, four thread, three-level cache is 6MB. The i7 4790 is a 4-core 8-thread, 3-level cache of 8MB. CPU is not only determined by the dominant frequency.

8. 1. They need to sell their computing power to obtain funds and buy more equipment to expand their scale. The larger the scale of this cloud computing platform, the more stable it will be.

9.

On January 7, Qualcomm officially released its new autopilot computing platform, snapdragonride. The platform includes security system level chip, security accelerator and autopilot software stack, which can meet the computing requirements of the highest L4 / L5 autopilot. Qualcomm announced that the platform will be delivered to automobile manufacturers and first tier suppliers for preliminary development in the first half of 2020, and the vehicles carrying the platform are expected to be put into mass proction in 2023

interpretation: as early as 2012, Qualcomm entered the automotive chip field. Up to now, the cumulative amount of orders from Qualcomm in the automotive sector has reached $7 billion, up from $6.5 billion two months ago

however, the previous chips were all communication and entertainment chips. At the press conference, Qualcomm disclosed that it has been more than four years since it launched the autopilot chip. In 2017, Qualcomm obtained the license of automatic driving test in California. The purpose of this test is to verify its chip

currently, one of the biggest pain points of autopilot chips is that it is difficult to achieve the balance between computing power and power consumption. From the beginning, Qualcomm decided to make use of its accumulation in the mobile phone chip instry to make high computing power and low power ASIC chips. Snapdragonride, the L4 level automatic driving computing platform released by Qualcomm, is equipped with two self-developed automatic driving processors ml (ASIC), GPU and CPU

snapdragonride platform can achieve the highest computing power of 700tops with 130W power consumption. If this plan can be realized, then Qualcomm's automatic driving scheme is quite competitive in terms of computing power. For example, compared with the 144tops / 72W of Tesla hardware3.0, the energy efficiency advantage of Qualcomm's procts is obvious

among the mass proction schemes, Huawei's mdc600 has the strongest computing power, with 352tops computing power and 352w power consumption; Next is NVIDIA's drivepegasus, with 320tops computing power and 500W power consumption

according to the plan, the computing power of agxorin, the computing platform of Orin based on the next autopilot chip, can reach 2000tops, but the power consumption can also reach 750W, which can hardly be applied to mass proction vehicles

in contrast, Qualcomm's autopilot computing platform does not need a fan or liquid cooling system, but uses a simpler passive air cooling system to achieve higher reliability

snapdragonride platform also reces the number of chips and turns them into L2-L3 automatic driving solutions with computing power of 60-120tops or ADAS solutions with computing power of 30tops. At this CES, Qualcomm and GM reached a cooperation on ADAS business

in terms of business model, Qualcomm's approach is relatively open. It can provide full stack solutions, or only sell chips, algorithms and sensor solutions, which can be handled by customers themselves

in the future, v2x chip will also be one of the important revenue sources of Qualcomm in the automotive business

in addition, through its car to cloudservice, Qualcomm also provides technical support for car companies in cloud computing and Ota. It is worth mentioning that its car to cloudsoftsku supports the security upgrade of chipsets

this article comes from the author of car home, which does not represent the standpoint of car home

10. 1. Planned economic system. The planned economy system itself has unique advantages in avoiding overcapacity, economic crisis and macro-control of resources. However, the most reasonable regulation needs powerful computing power. The Soviet Union initiated MPS system, which was reasonable in the early stage and maintained a growth rate of 4% - 5% for a long time. However, after the 1970s, e to corruption, logistics system and other reasons, there were frequent planning mistakes and resource mismatches. At this time, e to the rise of oil prices, the Soviet economy was in the best period
2. However, under the rapid market-oriented reform, a large number of Soviet materials were poured into the black market, and at the same time, problems occurred in the logistics system (improper allocation), which was related to the frequent shortage of materials in the later period of the Soviet Union
3, The privileged class formed in Brezhnev's era was corrupt (later embezzled state assets at a low price in the privatization reform and turned into a Russian oligarchy). The planned economic system depended on the upper level regulation and control, where the upper level was fooling around_&# 45576;)
4. Within the EEAC system, the Soviet Union can obtain light instrial procts through the satellite countries of Eastern Europe, and focus on the development of heavy instry in the confrontation with the United States (the Soviet Union's heritage is not as good as that of the United States), and the drastic changes in Eastern Europe have bruised its instrial chain
5. The Soviet Union attaches great importance to the space race between the United States and the Soviet Union, but it can burn money, The economy of the Soviet Union itself is not as good as that of the United States (the world's second largest economy, but there is an objective gap with the United States)
6. In the 1980s, the oil price fell, the cost of oil fields in the Soviet Union was high, the development was little, and the foreign exchange income fell. At this time, the resource mismatch since the 1970s was reflected
7. In fact, from the perspective of the system and economic level of the Soviet Union, this statement is not very appropriate. Only compared with the United States,
this part is basically related to money. From a personal point of view, the main problem is political corruption, which directly triggers all the disadvantages of the planned economy, and then we know that we need to reform, but we don't know how to reform well, Finally, what are those oligarchs...
in the Soviet Union, the income of senior leaders was about eight times that of ordinary workers, the retirement age was later, and the highest paid scientists were only a dozen times. In the capitalist world, it was very normal for a senior employee to earn more than 100 times that of the lowest paid people. Western capital exploited people and interfered in politics, Because of ideological reasons, the Soviet bureaucrats' publicity after corruption was unrealistic. Finally, the high-level collective betrayed socialism and supported the country to embark on the capitalist road. In the privatization reform, they purchased state-owned enterprises with illegal income, some fled and some colluded with politics. Today, the gap between the poor and the rich in Russia is higher than that in all capitalist developed countries