Zhipu AI has developed its own infrastructure for GLM inference

Company Zhipu AI introduced a specialized production infrastructure for running the GLM-5.3-Flash model. The system was deployed based on a cluster of 100,000 Chinese AI accelerators, which made it possible to provide high performance when working with large language models.

The key achievement was a threefold increase in the system's throughput compared to previous configurations. Engineers achieved such results by implementing W8A8 quantization optimization, which reduces the requirements for computational resources without significant loss of calculation accuracy.

To accelerate the deployment process, the team used a specialized Infra Agent. This automation tool allowed the design and configuration of the entire infrastructure to be completed in less than two weeks, which significantly reduced the time it took to bring the model to market.

Developing its own infrastructure was a response to the need to scale services under restrictions on access to foreign equipment. Using local accelerators in combination with software optimizations allows the company to maintain stable operation of GLM-5.3-Flash under high loads, ensuring efficient processing of user requests in real-time.