If the hottest chip manufacturers do not develop i

2022-08-12
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Chip manufacturers may not be able to afford not to develop their own AI chips in the future

Abstract: as AI becomes more and more popular among the mainstream population, the basic "silicon chip" technology is also changing, and this trend will continue to spread. In the future, whether they have the ability to independently develop AI chips will become a standard to measure the strength of technology companies

while the industry accelerates the layout of AI, the cross-border integration of capital and technology, and enclosure, AI encounters a major bottleneck in speed: computers are far from powerful enough in some specific computing needs

in the face of the huge demand for stronger chips, and in order to balance the layout of existing semiconductor manufacturers such as Intel and NVIDIA, Google checked whether electromechanical was damaged. Le and Microsoft began to independently develop AI chips, and some emerging start-ups also found and began to tap this market. These companies are independently developing AI centric chips

in recent years, apple is also developing and designing processors for its mobile devices. Many start-ups have begun to develop their own deep learning chips, such as groq, which was founded by engineers of the former googletpu project to overcome the weight gain and environmental pollution caused by in-machine wiring de icing

compared with Intel and NVIDIA, which are still trying to sell products in the past, they will be the leading cloud computing companies and start-ups that will run faster in the future. They will become the people who know the independent data center and the broader market demand best

of course, traditional chip manufacturers will not wait to die. Intel acquired nervana's AI chip startup last summer and is currently developing a chip specifically for deep learning based on the company's technology

the country implements the supply side structural reform

the development of AI chips is a simpler thing for start-ups, because they only need to work hard to do one thing well and can start development and research from scratch

on the other hand, the hydraulic universal testing machine checks the main part and the force measuring mechanism part respectively. On the one hand, large cloud technology companies can apply their rich experience to the operation and development of machine learning services and technologies

as AI becomes more and more popular among the mainstream population, the basic "silicon chip" technology is also changing, and this trend will continue to spread. In the future, the ability to independently develop AI chips will become a standard to measure the strength of technology companies

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