🟩4.2 Activation plan

Global computing power activation plan

Bayesian has been applied in mathematics, medicine, astronomy, meteorology, and other fields. The Bayesian platform has spread to more than 100 countries around the world. The service projects include gravitational wave verification, AIDS physiological principle and drug research ( FightAIDS@home ), particle accelerator design (DPAD project), protein internal structure research ( Rosetta@home project), cancer breakthrough, and other cutting-edge scientific research that requires huge data analysis projects, providing them with efficient and top-notch computing power.

We believe that the scientific computing and commercial computing sectors can achieve compound growth of resource complementarity and network scale. The expansion of the scientific computing network will help establish Bayesian's public welfare vision, importing brand, and traffic and activating user participation for commercial applications. In parallel with commercial applications, the Bayesian Decentralized Computing Network Protocol will also expand Bayesian's original voluntary computing network and continue to provide computing resource support for scientific research projects dedicated to human progress by academic institutions around the world.

The initial goal of the Bayesian decentralized computing network protocol is to increase the computing power of Bayesian scientific computing to 100 Petaflops (about three times the current size of computing power). After the computing power of the entire Bayesian network exceeds 100 Petaflops, the Bayesian decentralized computing network protocol will use the excess computing power to provide commercial computing services. In the future, with the further development of Bayesian network computing power and distributed cloud computing services, the Bayesian decentralized computing network protocol will carry out more in-depth cooperation with the Bayesian scientific research community, including but not limited to computing power donations.

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