Analysis of the global artificial intelligence chip industry pattern
With the development of big data and the improvement of computing power, artificial intelligence has ushered in a new round of explosion in the past two years. The implementation of artificial intelligence depends on three elements: the algorithm is the core, the hardware and data are the foundation, and the chip is the most important part of the hardware. It actually includes two calculation processes: 1. Training 2, Application.
Why do you need an artificial intelligence chip?
The continuous development of neural network algorithm applications makes traditional CPUs unable to afford the computational complexity of geometric growth. As a branch of machine learning, deep learning is the mainstream way of artificial intelligence research. Simply put, mathematical methods are used to simulate the human brain neural network, and a large number of data training machines are used to simulate the human brain learning process. The essence is to transform the traditional algorithm problem into data and computational problems. Therefore, the requirements for the underlying base chip have also undergone fundamental changes: the artificial intelligence chip is not designed to execute instructions, but for a large number of data training and application calculations.
Analysis of the global artificial intelligence chip industry pattern
In 2016, it became a year for chip companies and Internet giants to fully deploy in the chip field. Among them, Nvidia maintains an absolute leading position. But with the giants including Google, Facebook, Microsoft, Amazon and Baidu joining the decisive battle, the future of the artificial intelligence field is still to be solved.
From the perspective of cloud chips, GPUs currently dominate the market for artificial intelligence in the cloud, accounting for 35% of the market share of artificial intelligence chips. Among them, GPU leader Nvidia has become the absolute darling of the capital market because of its advantages in the field of artificial intelligence: in the past year, Nvidia, which was known for its game chips, has been trading for more than a decade. The steady price of $30 quickly soared to $120. It is reported that there are currently more than 3,000 AI startups in the world, most of which use the hardware platform provided by Nvidia.
Analysis of the scale of artificial intelligence chip industry in China
With the development of big data and the improvement of computing power, artificial intelligence has ushered in a new round of explosion in the past two years.
Cloud artificial intelligence chips will be widely used in smart phones, smart speakers, smart cameras, smart driving and other fields.
According to the data of the market demand analysis and investment prospects of the artificial intelligence chip industry released by the Foresight Industry Research Institute, the chip accounts for about 15% of the artificial intelligence, combined with the scale of China's artificial intelligence market, and calculates the scale of China's artificial intelligence chip market in 2016. About 2 billion yuan.
Analysis on the Regional Development of Artificial Intelligence Chip Industry in China
The total number of artificial intelligence-related enterprises in the three cities of Beijing, Shanghai and Shenzhen has reached 447, which is climbing rapidly. At present, almost all Internet products of Internet companies will add more or less algorithms and deep learning functions. AI is becoming the standard for Chinese Internet companies.
On May 3, 2018, the global new generation artificial intelligence chip launch conference was held in Shanghai. The Cambrian Technology Company of the Chinese Academy of Sciences released the Cambricon MLU100 cloud smart chip and board products independently developed by China, and the Cambrian 1M terminal intelligent processing. IP products. This is the first cloud artificial intelligence chip in China, with a theoretical peak speed of 128 trillion fixed-point operations per second, reaching the world's advanced level.
The MLU100 cloud smart chip uses Cambrian's latest MLUv01 architecture and TSMC 16nm advanced technology to operate in balanced mode (1GHz frequency) and high performance mode (1.3GHz frequency), equivalent theoretical peak in balanced mode. The speed is up to 128 trillion fixed-point operations per second. The equivalent theoretical peak speed in high-performance mode can reach 166.4 trillion fixed-point operations per second, but the typical board-level power consumption is only 80 watts. More than 110 watts.
Building an artificial intelligence ecological chain
In the new products, we are equipped with Cambrian chips, which help R&D and industrial solutions in various fields of artificial intelligence, VR, high-performance computing, etc. Not only that, but the chip results will also be used in the field of intelligent voice. Its powerful processing capability enables the mobile phone local end to handle more complex machine learning algorithms, making the voice local recognition accuracy rate 9.8% ahead of the traditional processor, significantly Improve the user experience.
In the next step, the cooperation between Dawning and Cambrian will not only be limited to the whole machine field, but will extend from the top scientific research to the low-end application, work together to build a downstream application industry, and build an artificial intelligence ecological chain. The artificial intelligence management platform SothisAI is seamlessly integrated and deeply integrated with the Cambrian chip and development environment.
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