2.1.1 AI development is proportional to arithmetic demand

Arithmetic power is a very important factor in the development of artificial intelligence.

Arithmetic is the ability of a computer system to perform complex calculations and processing.

Many key applications of AI, such as machine learning, deep learning and natural language processing, require significant computational resources to train and optimize models.

Firstly, as the complexity and size of AI models increase, so does the need for computing power.

For example, deep learning models typically consist of millions or even billions of parameters, and large-scale computations are required to train and tune these parameters. This requires hardware, storage, and networking devices that meet the arithmetic performance to support the high efficiency and speed of model training.

Secondly, the application scenarios of AI are also expanding, including autonomous driving, intelligent robots, medical diagnosis, and financial risk analysis. These applications have a high demand for real-time data processing and complex calculations, as well as require more powerful arithmetic power to support them.

In addition, with the advancement of technology and hardware, more companies and organizations have started applying AI technology. This has led to a sharp increase in the demand for AI arithmetic power. According to forecasts, by 2030, the global demand for AI arithmetic may grow to tens of times what it is now.

On the other hand, with the increase in the demand for AI arithmetic, it also promotes the development of computing network and arithmetic technology. BOBchain decentralized distributed AI arithmetic master network not only provides excellent computing and processing capabilities for the development of AI, but also compatible with smart contracts. It is also compatible with smart contracts, and on the basis of arithmetic capacity, it provides perfect ecological and technical support for model technology, training data and model application.