1. As the name suggests, the mine calculation card is a graphics card used for
mining. More strictly speaking, it is a graphics card used for mining with high load for a long time. The graphics card used in mining usually works at full load 24 hours a day for several months. In this way, PCB and electronic components will accelerate aging, affecting the life of components. Not counting the rest time of the graphics card, even if we play the game for 8 hours a day, the life of the mine card is only one third of that of the normal graphics card. It can be said that the general life of the mine card is only a few months.
2. The types of chips that provide computing power for AI include GPU, FPGA and ASIC
GPU is a kind of microprocessor specialized in image operation on personal computers, workstations, game machines and some mobile devices (such as tablet computers, smart phones, etc.). It is similar to Cu, except that GPU is designed to perform complex mathematical and geometric calculations, which are necessary for graphics rendering
FPGA can complete any digital device function chip, even high-performance CPU can be implemented with FPGA. In 2015, Intel acquired the FPGA long alter head with us $16.1 billion. One of its purposes is to focus on the development of FPGA's special computing power in the field of artificial intelligence in the future
ASIC refers to the integrated circuits designed and manufactured according to the requirements of specific users or the needs of specific electronic systems. Strictly speaking, ASIC is a special chip, which is different from the traditional general chip. It's a chip specially designed for a specific need. The TPU that Google recently exposed for AI deep learning computing is also an ASIC
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chips are also called integrated circuits. According to different functions, they can be divided into many kinds, including those responsible for power supply voltage output control, audio and video processing, and complex operation processing. The algorithm can only run with the help of chips, and because each chip has different computing power in different scenarios, the processing speed and energy consumption of the algorithm are also different. Today, with the rapid development of the artificial intelligence market, people are looking for chips that can make the deep learning algorithm perform faster and with lower energy consumption
3. Not long after I started mining, I only used one kind of miner, gym intelligent miner, which was recommended by my friend. He has been mining for a long time and said that the indicators of this miner are perfect, and the computing power of gym titanium crystal chip can absolutely keep up.
4. 1) At present, intelligent speakers are put in the cloud to do NLP because the knowledge map and computing power required by the question answering system can not be realized locally. 2) most of the A7 and A53 chips used in the current speakers. 3) according to the local home kit released by Google and Xiaoai teacher released by Xiaomi, there is no problem for A53 to realize local ASR, and some simple It can be expected that NLP in limited fields can execute the corresponding answer / command. 4) if it is a floor sweeping robot, a7 and A53 can be competent if it only needs simple command words. 5) the requirements for the main control chip are mostly determined by the requirements of the application scenario, and the accuracy and anti-interference ability determine the requirements for the chip; If it is a low-power scenario, such as the wake-up and command word functions of TWS headphones, it can be realized with Apollo 2 / 3 of ambiqmicro. If the floor sweeping robot is not sensitive to cost and has high performance requirements (with great noise), then the general MCU is not necessarily suitable. You can consider A7 and A53
5. Doesn't it make sense just to compare the number of transistors? Hehe, in terms of performance, the processing efficiency is 5 ~ 10 times higher
6. Recently, I have been mining with my friends. I have changed several brands of mining machines one after another. If it's easy to use, it's still gym mining machine, the storage mining machine integrated with the latest technology. If the chip is good, the computing power will be strong.
7. Brief introction: Shenzhen xinzhongbao Technology Co., Ltd. was established on March 4, 2015. Its main business scope is electronic procts, electronic technology development and sales, etc
legal representative: Wei nuqi
time of establishment: March 4, 2015
registered capital: RMB 30 million
business registration number: 440301112297804
enterprise type: limited liability company
address: room 507, Langfeng mansion, Nanshan Science and Technology Park, Yuehai street, Nanshan District, Shenzhen City
