The autonomous driving AI chip landscape has begun to rewrite the road

 During the 2019 World Artificial Intelligence Conference, AI chips became one of the hottest topics, which complements the "hot" market trend. According to CCID Consulting, by 2021, the overall scale of global AI chips will reach 10 billion US dollars, and it will maintain a relatively rapid innovation trend.

Domestic AI chip manufacturers who are competing in the AI ​​track with all their might are not only focusing on the cloud, but are also accelerating their progress towards high-threshold ends such as autonomous driving chips.

While Mobileye (acquired by Intel) and Nvidia are thriving in the field of autonomous driving chips, two domestic AI companies have "taken the risk of going to the tiger mountain" and have successively released high-computing autonomous driving chips. Black Sesame Intelligent Technology has released the "Huashan Series", and Horizon Robotics has launched the "Journey 2", becoming another strong attack by domestic AI manufacturers after Huawei released the MDC600, a platform that supports L4-level autonomous driving.

Autonomous driving AI chips represent the highest standards in the industry. Compared with consumer-grade and industrial-grade chips, autonomous driving AI chips have the most stringent requirements in terms of safety, reliability and stability. The innovative advancement of autonomous driving chips by domestic AI manufacturers in terms of high computing power, low latency and high recognition rate indicates that the competitive landscape of autonomous driving chips will also begin to be rewritten.

At the same time, AI chip development presents a new trend. According to Sun Huifeng, president of CCID Consulting, chip development will start from the technical perspective and start from the application scenario, and achieve scale development with the help of the scenario implementation; in terms of technical routes, in order to adapt to the needs of multiple scenarios, specialized flexible and universal chips will be needed in the future to make it the "CPU" in the AI ​​field. In addition, corporate cooperation will shift from serial division of labor to integrated symbiosis, with cooperation as the main line to form a cooperative ecology.