AI chips are the hardest technology fields that Internet giants are currently involved in. According to the different deployment locations, a wide variety of AI chips can be divided into two types: cloud AI chips and terminal AI chips. Cloud AI chips have two major application scenarios: training and reasoning; terminal AI chips have been widely used in various scenarios such as smart cities, autonomous driving, smartphones, and AIoT represented by smart homes. From the perspective of industry insiders, the application scenarios and demands of the cloud AI chip market are relatively unified.
After a period of intense competition, a relatively unified market may eventually be formed; the terminal AI chip market has more abundant application scenarios, and different scenarios are different. Therefore, it may eventually evolve into a very vertical b2b data market. Among them, in the field of cloud AI chips, most of the current market share is still occupied by traditional chip giants such as NVIDIA, while demand comes from Internet giants such as Google, Amazon, Ali, and Tencent. Therefore, in order to avoid the long-term constraints of traditional chip giants,
Internet giants have embarked on the road of self-research and quickly become important players in the AI chip With the continuous progress and development of society, the desire and anxiety for knowledge will only increase. The self-study room is only one of the auxiliary tools that provide convenience in the process of acquiring knowledge. With the desire of the society for knowledge, such auxiliary tools will only be more in the future. The self-study room is not the first nor the will be the last one. This article was originally published by on Everyone is a product manager. Reprinting is prohibited without the author's permission. The title image is from Unsplash and is based on the CC0 protocol