GLM Builds Its Self Excitation Infrastructure

GLM prefers to develop a structured infrastructure in order to provide its own AI models more efficiently. This strategic decision aims to maximize performance gains by providing a tighter integration between software and hardware.

The main advantages of building their own infrastructure include:

• Special optimization: The system, which is tailored to models, offers higher efficiency than general purpose cloud infrastructures
• Payment control: Ability to offer more affordable services by reducing business expenses -Fast response times: User request processing speed can be increased with software-free adaption
• Technology independence: providing strategic autonomy by reducing dependence on other companies’ services
• Payment: Flexibility to easily adjust system capacity according to user request

This approach looks like the preferences of large players like OpenAI and Google infrastructive management. This move of GLM reveals the necessity of investing in their infrastructures of companies who want to offer off-the-one LLM services.

While it’s the challenges to build your own system, it provides an important advantage in terms of competitiveness and operational control in the long run. This step of GLM shows how seriously the technology investments of artificial intelligence ecosystem in China.