3090 power tops

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

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

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

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

Article / by

5g will become the most frequently used word in 2020. In the past year, 45 telecom operators around the world have begun to deploy 5g. Obviously, 5g will change our lives at a speed far faster than 4G. As the world's largest mobile phone chip supplier, at this CES, Qualcomm also showed its overall layout of 5g era for the first time, initially completing the comprehensive coverage of mobile phones, computers, cars and cloud

different from the previous press conference in which mobile phone business occupied the C position, the biggest space of this CES press conference of Qualcomm was about the automobile business. For the first time, the automotive field has become the focus of Qualcomm's layout. In addition to the Internet of vehicles business that has been laid out before, this time, Qualcomm has also extended its tentacles to automatic driving

automatic driving platform with more flexibility and lower power consumption at the press conference of Qualcomm on the eve of CES, Qualcomm officially launched the new snapdragonride platform, officially listed various problems encountered in current automatic driving, and said that its own platform is one of the most advanced and scalable open automatic driving solutions in the automotive instry. This kind of scene is like, one day, a former mobile phone chip maker suddenly stood in front of a pile of car Tier1 and sighed: "there is no one who can take a taxi. I have to come to the automatic driving solution."

with the development of 5g and artificial intelligence technology, more and more technology companies have joined the automotive instry, using the advantages of chips and software to enable intelligent vehicles and accelerate the intelligent and networking process of vehicles. Perhaps, owning a more intelligent and convenient car will come true earlier than we think

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

About

} are black sesame CEO and coo Liu Weihong

black sesame CEO. Previously, he was a member of the founding team of omnivision, a global vision chip leader. He has worked in Silicon Valley chip instry for more than 20 years and has rich experience and technology accumulation in image processing chip and software algorithm

CTO Qi Zheng is the main design member of Intel Pentium II chip, CSO Zeng Daibing is the chief engineer of ZTE microelectronics, and coo Liu Weihong was the president of chassis and control system division of Bosch China ADAS

because of its strong R & D team, heima, a start-up company, can make the ADAS chip huashan-1 A500 within three years and launch it in mass proction. This year, it will launch huashan-2 a1000 chip and launch the fad automatic driving platform

since the beginning of this year, if new cars are not equipped with L1 / L2 automatic driving, they are "embarrassed to sell", the popularity of automatic driving is rapidly increasing, and the higher level of L3 or even L4 automatic driving is on the eve of mass proction, and the demand for automatic driving chips and computing platform solutions in the instry is explosive growth. The market scale of autopilot chips alone is expected to reach trillion US dollars, becoming the largest single market in the semiconctor instry

in August this year, FAW Intelligent Network Development Institute reached a technical cooperation agreement with heima. FAW Intelligent Network Development Institute will start the development of intelligent driving platform based on huashan-2 a1000 to meet the demand of subsequent mass proction models. The two sides will jointly promote the application of artificial intelligence technology in the automotive instry and accelerate the instrialization of domestic intelligent driving chips

in addition, heima has signed a number of fad fixed-point models, and it is expected that there will be models equipped with fad automatic driving platform on the market next year. In addition, many enterprises at home and abroad have begun to test fad automatic driving platform, and the test vehicles have been on the road

the great success of black sesame in automatic driving chip and domain controller makes instry research institutions begin to pay attention to this start-up company which has just been established for more than four years. In April this year, cbinsights, one of the strongest think tanks in Silicon Valley, released the list of Chinese chip design enterprises. Black sesame was listed in the field of vehicle chip, becoming one of the top 65 Chinese chip design enterprises

in July this year, black sesame Huashan No.2 a1000 chip also appeared in the world artificial intelligence conference, together with pingtouge, Yitu, Cambrian and other high-end artificial intelligence chips

it can be said that after more than four years of development, black sesame has become the world's leading autopilot chip design company, and even has the ability to compete with the eldest brother in the chip instry. At the same time, the rapid progress of black sesame also promotes the domestic automatic driving chip design to a new level

in the conversation with the two founders, they also revealed a colorful egg. Next year, hei mahjong will release a chip with stronger performance. At that time, the highest computing power of fad automatic driving platform equipped with this chip is expected to exceed 1000tops, and its computing power can be fully automatic driving

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

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

In September of this year, we @ Gedian experienced the function of Weilai NOP (navigation on pilot). After Tesla FSD (NOA), this is the second auxiliary driving function that can automatically enter and exit the gate, change lanes and overtake based on the navigation planning route

NOP has been pushed to users in the form of FOTA, supporting all models of Weilai. Although es8 is "old fashioned", its built-in mobileyeq4 chip's computing rendancy can fully meet the needs of NOP

when it comes to advanced auxiliary driving, in addition to high-definition cameras and various radars, chips are the most important and the most difficult part for car companies to overcome. At present, in addition to Tesla's self-development, Mercedes Benz, BMW, Weilai and Xiaopeng all choose purchased chips. There are also many ADAS manufacturers that can provide such chips, such as Mobileye, Bosch, Texas Instruments and NVIDIA. When you see this, someone may ask:

"isn't NVIDIA the one that makes graphics card GPU?"

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

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