Suanli 500hs

Graphics cards can't dig out bitcoin right now. Your calculation power is the calculation power of Ethereum. The calculation method is also wrong

You can refer to the following, according to some commonly used graphics cards in the Internet bar market, sort out the price and calculation power of a related graphics card, as well as the expected return to the current period, It can be used as a reference:

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power consumption: 243w
computing power: 22.4m
price of graphics card: 1999 yuan
quantity of eth g every 24 hours: 0.015
revenue generated every 24 hours: 24.48 yuan
expected payback time: 81.66 days

power consumption: 159w
computing power: 24.3m
price of graphics card: 1599 yuan Yuan
number of eth g every 24 hours: 0.017
revenue generated every 24 hours: 27.9 yuan
estimated payback time: 57.31 days

total power consumption: 171w
computing power: 24.4m
price: 1999 yuan
number of eth g every 24 hours: 0.017
revenue generated every 24 hours: 27.87 yuan
estimated payback time: 71.73 days

Video card (graphics card) full name display interface card, also known as display adapter, is the most basic configuration of computer, one of the most important accessories. As an important part of the computer host, the graphics card is the equipment of digital to analog signal conversion, and it undertakes the task of output display graphics

the graphics card is connected to the main board of the computer, which converts the digital signal of the computer into an analog signal for the display. At the same time, the graphics card still has the ability of image processing, which can help the CPU work and improve the overall running speed. For those engaged in professional graphic design, graphics card is very important. Civil and military graphics chip suppliers mainly include amd (ultra micro semiconctor) and NVIDIA (NVIDIA). Today's TOP500 computer, including graphics card computing core. In scientific computing, graphics card is called display accelerator

The focus is undoubtedly the et7 of Weilai: Weilai's first intelligent electric flagship car with automatic driving ability. Weilai officially defines it as a car "born for automatic driving". So how strong is et7's automatic driving ability? First of all, let's understand the basic performance of et7: the maximum power of the new car is 480kw, the maximum torque is 850n · m, the drag coefficient is
0.23cd, and the 100 km acceleration is 3.9 seconds. The whole system is equipped with air suspension and 4D intelligent body control as standard

with such strong computing power, et7 is equipped with 19 safety and driving assistance functions of NAD as standard. The complete functions of NAD will adopt the service subscription mode of monthly rent, adaas (AD as a
Service), and the service fee is 680 yuan per month. Although we are very excited, the delivery of et7 will not start until the first quarter of next year, and the delivery of 150kwh battery pack will not start until the fourth quarter of 2022. Therefore, in such a long period of time, whether et7 can keep ahead in the fierce competition of new car brands still depends on the achievements of other students

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