Calculate power to Pt
legal representative: Guo Boyang
time of establishment: November 27, 2017
registered capital: RMB 1 million
enterprise type: limited liability company (invested or controlled by natural person)
address: room 02c-317, block B (second floor), No.28, information road, Haidian District, Beijing
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
extended data:
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
Since the tenth power bank was proposed, it has attracted the attention of many people in the instry, and there are more and more related topics. So what do we think of the bank
to sum up, computing power bank is a sharing platform of hardware platform leasing + professional software application, which is based on P2P network. Through this platform, we can carry out in-depth cooperation in instry applications, customize professional computing power solutions, and create a new computing power output mode
this question is quite professional, but according to my knowledge, I have a chance to finish it let's first introce some basic knowledge about the field of chip manufacturing
I think this kind of problem at most comes from the concern and consideration of China's semiconctor instry manufacturing. Because China's 14nm process has been proced and operated in China, but compared with semiconctor giants like TSMC, we still have a big gap in 5nm and 7Nm. Therefore, there may be such a problem: if we want to use 14nm instead of 5nm, the starting point is very good, but the charm of science lies in constantly exploring the limits and unknowns. Only by constantly climbing can we have a deeper understanding of the world and improve our proctivity.
When many consumers choose luxury medium-sized cars, they often give priority to BBA procts, and often choose and struggle among the three. The three giants have been deeply engaged in the Chinese market for more than ten years, which naturally has a profound impact on people. But in the luxury car market, there are more than three brands to choose from. Jaguar from England also has a fascinating charm