The high speed cutting is the most effective process technologies for the contradiction between increasing machining demand and poor machining performance. To realize the accurate retrieval and management of the highspeedmachining (HSM) parameter in its full life cycle, a HSM database network system based C/S architecture was conducted and the HSM parameter of Ti6Al4V from the database was optimized by genetic algorithms. Research results show that it achieves the following functions in whole life cycle of highspeedmachining: parameter optimization and recommendation, automated queries and modification of the engineering drawing, seamless connection with the finite element software, and so on. The database system provides intelligent management from the formation of the constitutive to product manufacturer and analysis of the components and parts for the HSM manufacturing enterprise. It can bring some meaningful effect for the HSM of titanium alloy.