590 computing power
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 core micro architecture of NVIDIA graphics card has experienced Tesla, Fermi, Kepler, Maxwell, Pascal and Turing
CPU architecture is a specification given by CPU manufacturers to CPU procts belonging to the same series. The main purpose is to distinguish different types of CPU. At present, the CPU instruction set classification on the market is mainly divided into two camps, one is the complex instruction set CPU led by Intel and AMD, the other is the reced instruction set CPU led by IBM and arm
The details of NVIDIA graphics card architecture are as follows:
2000 - acquired 3dfx, the pioneer of graphics technology; 2001 - enter the integrated graphics market; 2002 - rated by Fortune magazine as the fastest growing company in the United States; 2003 - acquired mediaq; 2004 - SLI released, which greatly improved the graphics processing capacity of a single PC; 2005 - developed processor for Sony game console; 2006 - revolutionary CUDA architecture appeared
2007 - selected by Forbes as the best enterprise of the year; 2008 - Tegra mobile processor comes out; 2009 - the first GPU technology conference, launched Fermi architecture; 2010 - help the world's fastest supercomputer; 2011 - acquisition of icera, the baseband leader; 2012 - Launch GPU based on Kepler architecture; 2013 - Tegra 4 series processor launched
2014 - release tegrak1shield tablet, Android game fire; 2015 - deep cultivation and deep learning; 2016 - driving AI revolution; 2017 - Volta architecture comes out to further promote modern AI; 2018 - turing architecture came out and redefined computer graphics; In 2019, AI computing power will continue to innovate in all walks of life
This graphics card is the top professional graphics card
unparalleled performance gives more creative space. The graphics card adopts the latest Pascal GPU architecture, has 1024cuda parallel computing core, has 5GB gddr5 memory capacity, but the maximum power consumption is only 75W
development materials:
graphics card:
1, professional graphics card, in fact, its hardware cost only accounts for a small part of its price, more value-added in driver development and ISV professional software certification, so as long as you use Maya, 3ds max, SolidWorks and other software, the performance and value of professional graphics card can be realized, When you open a complex scene for editing and modification, you will be able to provide a preview at real-time speed without lengthy waiting... This is impossible for ordinary game graphics cards (even the top-level GTX 580590, these game graphics cards are also in this aspect)
The game performance of professional graphics card is almost the same as that of ordinary graphics card with the same core. The new generation NVIDIA Quadro 6000 professional graphics card adopts the same display core and proction process as GTX 470, with 6 GB and gddr5 memory; The game performance of NVIDIA Quadro 6000 professional graphics card and GTX 470 is almost the same, so professional graphics card can also play games. But the reverse is not good, game graphics rendering is not good
3. The price of NVIDIA Quadro 6000 professional graphics card is as high as $3000, while the price of GTX 470 with the same core is less than 1 / 10, about $250
IPhone4 doesn't have a coprocessor, so the background can't count the steps automatically after the software is turned off. The iPhone 5S didn't have this feature until the beginning
let me introce the coprocessor to you:
Apple M7 coprocessor is responsible for assisting the A7 processor. In some cases, only using M7 to process data and commands is more power-saving and faster than calling A7 processor directly, and there is no need to worry about the loss of motion data
What is the function ofM7 coprocessor
M7 is the coprocessor of A7 processor, just like the right-hand assistant of A7 chip. It is designed to measure motion data from accelerometers, gyroscopes and compasses. Without it, the task usually falls on the A7 chip. But M7 coprocessor is better at this. The fitness app that tracks physical activity can now read relevant data from the M7 coprocessor, so it does not need to continuously access the A7 chip, thus recing power consumption
to put it simply, it's no longer a bull knife to kill chickens. The simple sensor data collection and processing work is left to the low-power M7. Even if the device is in sleep mode, M7 still collects data from three-axis gyroscopes, accelerators, electronic compasses and other sensors to ensure uninterrupted monitoring of the user's movement state. However, the power consumption of M7 is far lower than that of A7 main processor
the humanized function of M7 chip
this improvement looks very timely in today's popular fitness applications and wearable devices. With M7 coprocessor, no matter what motion you do, M7 coprocessor can detect it. Since the M7 coprocessor knows when you are in a moving vehicle, the M7 equipped device does not ask if you want to join a passing wireless network. If your phone has not moved for a long time, for example, when you sleep, the M7 coprocessor will rece network detection, thus saving battery power
when the mobile phone is sleeping, it can also sense the user's state, whether you are walking, running or cycling. The information recorded by the sensor will be recorded in the mobile phone, which greatly saves the power on the premise of meeting the use requirements