Power chip ranking
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
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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
China's top ten chip companies are: Ziguang group, Huawei Hisilicon, Changdian technology, SMIC international, Taiji instry, Zhonghuan Co., Ltd., Zhenhua Technology, nastar, ZTE micro power, Huatian technology. Among them, Ziguang group and Huawei Hisilicon are at the top
In terms of
materials, Japan is a global leader. In China, on the other hand, silicon wafers are almost blank. The 8-inch domestic proction rate is less than 10%, and 12 inch is dependent on imports. The hope of breaking the monopoly is still in Xinsheng semiconctor, founded by Zhang Rujing, which will be in mass proction this year. He is also the founder of SMIC. Chip manufacturing, the most advanced is SMIC international and Xiamen Lianxin, currently can achieve 28 nm mass proction. Their competitors, such as Samsung and TSMC, are about to mass proce 7 nanometers this year, two or three generations behind
China's top ten chip enterprises
1, Hisilicon
2, Tsinghua Ziguang
3, howay technology
4, ZTE microelectronics
5, CLP Huada
6, Changdian technology
7, SMIC international
8, SMIC
9, nastar
10, Nari Zhixin
1 Hisilicon, which evolved from Huawei's IC Design Center, was founded in 2004 and is Huawei's main chip research center. Many of Huawei's mobile phone CPUs are equipped with its Kirin series. In addition, in the 5g field, the Baron series is the world's leading chip. Together with shengteng series and Kunpeng series, it is called Huawei's four major chips
2. Tsinghua Ziguang
Tsinghua Ziguang is a school run enterprise of Tsinghua University, which originated in 1988. It mainly involves three chip fields: memory chip based on Changjiang memory, mobile phone chip based on Ziguang zhanrui and security chip. It has the world's advanced integrated circuit development technology< Howay technology is a chip technology enterprise focusing on image processing. It was once a supplier of apple, and was later acquired by Chinese enterprises, focusing on the photo processing of mobile phones and tablets. It has a certain position in China< 4. ZTE microelectronics is a chip development enterprise of ZTE. Founded in 2003, mainly involved in monitoring chip and router chip and other fields, has a lot of technology patents, but in the core chip technology competitiveness is not strong<
5. CLP Huada was founded in 2002. It is a major WLAN chip supplier in China, mainly involving notebook, digital TV and multimedia gateway, and is also rated as "China's top ten integrated circuit design enterprises"< Changdian technology was founded in 1972, headquartered in Jiangsu Province. It is also a famous IC packaging proction base in China, mainly engaged in the research and development of discrete devices and IC packaging. Its "Changjiang" has won the title of "top ten semiconctor brands"< 7. SMIC is the world's leading IC chip foundry enterprise and the largest IC chip manufacturing enterprise in China. It was founded in 2000 and mainly provides IC design and chip manufacturing for customers.
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