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[Xinzhiyuan Guide] On September 12, Inspur Group and IDC Research released the "China AI Computing Power Development Report". The report shows that China's AI investment increased 10 times last year, Beijing's AI computing power lost to Hangzhou, ranking second. At the same time, AI computing faces these four major problems.
The only artificial intelligence conference in the industry centered on "AI Computing" released an important report yesterday.
On September 12th, the abstract version of the “China AI Computational Power Development Report” was officially announced at the 2018 AICC Artificial Intelligence Computing Conference.
This report was published by Inspur Group and IDC. The report is worthy of attention. Beijing's AI computing power ranks second only, Hangzhou is the first; AI investment has increased 10 times last year; biometrics and smart city areas are facing Big chances.
This report aims to provide a comprehensive assessment of China's AI computing power, including the regional distribution of computing power and industry distribution, clearly showing the development trend of China's AI industry, industry status and typical applications, and the AI that will mature in 2025. Typical application scenarios are expected to be worth collecting.
In addition, Inspur is still the world's first AI super server - AGX-5, this server has a computing performance of up to 2 petaflops per second, and can have 16 latest boards high-speed interconnect in 8U space. It is currently one of the most powerful AI computing hosts in the world. The development of the AGX-5 is also a new result of the pursuit of higher research and development effectiveness under the challenge of the surge in computing volume.
The following is a highlight of the "2018 China AI Computing Power Development Report" and the Artificial Intelligence Computing Conference:
AI is still breaking out: investment increased 10 times last year, computing power increased by 230%
The report shows that artificial intelligence began to break out in 2017, thanks to the explosive growth of data volume, the emergence of new machine/depth learning algorithms and the increase in computing power.
The various financing, investment and valuations around AI have also reached a historical peak. In 2017, investment in AI increased by 10 times, computing power increased by 230.7%, and data volume increased by 50%.
The explosive growth of data provides sufficient “nutrition” for artificial intelligence. According to IDC, by 2025, the global data will climb from 20.9ZB in 2017 to 163ZB, and the compound annual growth rate will reach 29%.
As AI investments go up, the demand for AI computing infrastructure is growing rapidly. From 2016 to 2021, both AI investment and computing power showed an upward trend.
Among them, the AI consumer market will grow from 24.31 billion in 2017 to 5.893 billion in 2021; the GPU market will grow from 17% to 5.6449 billion in 2017 to 34.0803 in 2022. One hundred million U.S. dollars.
Looking back at 2017, the annual compound growth rate of AI investment and the compound annual growth rate of computing power have reached the highest point, respectively 414.3% and 230.7%, which is one of the reasons why 2017 is called the Chinese AI first year.
China's AI computing power is uneven: Top10 cities account for half of the eastern part, and Beijing ranks second.
In the development of China's AI computing power, Inspur comprehensively considers the impact of computing power, algorithms, and data on the development of artificial intelligence, focusing on the four main dimensions of investment and supply in the AI field, industry and region, demand and application, potential and trend. And reached the key research conclusions.
First of all, from the perspective of the city, the competition in the investment and computing power of several major cities in China is quite fierce. The top five cities in the development of AI computing power cities are Hangzhou, Beijing, Shenzhen, Shanghai, and Hefei, which are in the first camp of AI computing development. Chengdu, Chongqing, Wuhan, Guangzhou, and Guiyang ranked in the second camp of AI development (in no particular order).
The report shows that in these cities, the mature market environment and good industrial policies have laid a solid foundation for the development of artificial intelligence. In particular, Hangzhou, Beijing and Shenzhen, which are among the top three, have gathered a large number of AI fields. High-tech companies have formed a good atmosphere for AI entrepreneurial innovation.
However, from the perspective of regional distribution, East China, South China and North China are in the top three. Overall, the degree of AI development in the eastern region is higher than that in the western region, and the development in the southwest and northwest regions is the lowest.
Business Opportunities for the Next 2 Years: Biometrics and Smart Cities
At present, China's artificial intelligence has been applied in many vertical fields such as the Internet, government, medical and financial. The AI computing TOP industry includes the Internet industry. The application scenarios include search engine and e-commerce user behavior analysis. The government departments are mainly used for government departments. Public safety and public services; the medical industry for disease prediction and diagnosis, credit risk management; the financial industry for knowledge management and generation, online business face recognition, etc.
It is expected that in the next 2-3 years, the application of artificial intelligence in biometrics and smart city construction will take the lead in the maturity of commercial applications; in the next 5-10 years, the application of artificial intelligence industry in smart home and industrial manufacturing is expected. It will also gradually step into the fast-growing industrial window.
Liu Jun, general manager of AI & HPC of Inspur Group, explained that in the next five years, we will see that the empowerment from emerging economic AI enters a climbing stage. For example, smart factories and QC automation in intelligent manufacturing will develop rapidly.
AI computing faces four major challenges, heterogeneous computing combined with cloud to solve computing power problems
With the continuous development of the convergence of artificial intelligence and computing, AI computing has also encountered challenges in this process. This report gives advice on the current status of Chinese AI computing power.
At present, China's AI computing development faces four major challenges:
First of all, the development of computing power has not met the demand. The report recommends solving the problem of computing power through the combination of heterogeneous computing and cloud;
Second, the amount of data is still limited. The report pointed out that data sharing + integration can be used to solve this problem;
In addition, AI computing power still has many problems in the process from laboratory to practical application, which requires capacity output and ecological construction as support;
Finally, there is still a gap between the application scenario and the provision of a well-established industry solution. This report points to the need for accurate industry insight and pain analysis if you want to narrow your distance.
Currently the strongest AI super server AGX-5 is released, providing AI calculations of 20 million times per second.
In fact, in the entire AI computing field, from the perspective of the entire industry, many artificial intelligence companies in the past few years have noticed a relatively large change in industrial development. This contains very important technological changes. Liu Jun proposed three important Trend:
In the application development cycle of AI, the industry hopes to shorten the development cycle as much as possible and improve the efficiency of innovation. Therefore, everyone pays more and more attention to AutoML, trying to find the most suitable model through automation, and replace the original consumption with the computing power of the machine. a lot of manpower time;
When AI applications are deployed online, how to save online operating costs has become the focus of more and more attention, and customizable computing has become a technology that everyone pays more attention to;
When AI becomes a pivotal part of the company's entire R&D, more and more customers want to integrate and integrate AI with existing IT technology facilities. This is the change of AI+ cloud.
After sharing the "China AI Computational Power Development Report", Liu Jun clearly stated that these trends are facing the challenge of "how to achieve higher R&D effectiveness in such a rapidly increasing computing environment."
Under this influence, in response to the rise of AutoML, Inspur launched the world's first AI super server, the AGX-5, at the conference.
The AGX-5 is one of the most powerful AI computing hosts in the world. Liu Jun said that it is currently able to have 16 of the latest board high-speed interconnects in a 8U space, providing AI calculations of 20 million times per second. On the strong support, AGX-5 can realize global sharing of 16 GPUs and achieve high-speed interconnection, which greatly improves the performance of AI calculation. When doing some AI recommendation and machine translation, it will be better than other architectures. The performance of 16 GPUs has increased by more than 2.7 times.
Although technological change is one of the major challenges, Liu Jun also said: "We found that the biggest challenge is not technology, technology only completes 10% of the work, and the latter work comes from the entire ecological challenge."
If all the AI-related opportunities we see today are only 10% of the icebergs on the sea, then how to open 90% of the industry market may be the biggest challenge in the entire industry chain. Without sufficient human resources, insufficient partners and a sound system, how will this support such a large-scale transformation of AI? This issue is deeply thought out.
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