Computing power depends on chip
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
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 proctivityWu Wei, director of the mechanical equipment department of the Instrial Development Department of the national development and Reform Commission, said that in the future, automobiles made in China will have the most integration of new technologies and innovations in the world, and will also lead the global automobile instry
at the same time, the competition in the automotive chip field is also extremely fierce. Compared with the chips of consumer electronics procts, automotive chips have higher requirements for safety and stability, which is a common problem faced by the chip instry and an opportunity for Chinese chip companies
conclusion: self developed technology makes Zero run more competitive
Zero run car is the first self-developed auto driving chip among the new Chinese car making enterprises, and the Zero run car C11 with this chip will be released next month. The rapid progress of Zero run vehicles in the field of automatic driving has also been recognized by users
According to the statistical data, the sales volume of the two mass-proced models of Zero run Auto has graally increased since July this year. The sales volume has exceeded 1000 in September, and is expected to exceed 1600 in October. A large number of self-developed technologies have made Zero run a new force of car making more competitivethis article comes from the author of car home, which does not represent the standpoint of car home
on September 18, Huawei released a heavyweight proct, Atlas 900, which brings together Huawei's decades of technological precipitation, is the fastest AI training cluster in the world, and is composed of thousands of ascendant processors. In the resnet-50 model training, the gold standard of AI computing ability, Atlas 900 completed the training in 59.8 seconds, which is 10 seconds faster than the original world record
"imagenet-1k data set" contains 1.28 million images, with an accuracy of 75.9%. Under the same accuracy, the test results of the other two mainstream manufacturers in the instry are 70.2s and 76.8s respectively, and the atlas 900 AI training cluster is 15% faster than the second. Hu houkun said: the powerful computing power of atlas 900 can be widely used in scientific research and business innovation. For example, astronomical exploration, oil exploration and other fields all need to carry out huge data calculation and processing. Originally, it may take several months, but now atlas 900 is just a matter of seconds. The thousands of integrated shengteng processors in atlas 900 are the commercial shengteng 910 some time ago
As soon as the light comes out, don't accept it
Ali named the chip pingtouge, a honeypot that lives in Africa and is known as the fattest animal in the world. His character & lt; If you don't agree, do it; It has also become synonymous with ALI chip
Han Guang is one of the three ancient magic swords in Chinese legend. The sword contains but does not expose, and the light does not shine. You can imagine the powerful power of this sword just by listening to its name. And Hanguang is the younger brother of pingtouge, and there will be more chip procts in the future. The appearance of Hanguang 800 truly reflects the characteristics of Pingtou brother: short, flat and fast. In addition, the ancient magic sword is invincible in the world. It's quite domineering to hear the name
Third, output inclusive computing power for enterprises, and let more enterprises use good thingsthe iron triangle of Ali procts: AI + chip + cloud computing has no problem in terms of technology and hardware. Ali started as a service enterprise, and the target of these applications in the future is the majority of enterprise users. Rely on Alibaba & lt; Let the world have no difficulty in doing business; It will create a new business model & mdash& mdash; Pingtouge mode provides enterprises with more cost-effective inclusive computing power, so that more enterprises can enjoy the value brought by science and technology