KNOWLEDGE ATLAS is targeting the high-latency enterprise AI market with a new API, triggering a significant rally in its stock and related tech names.
KNOWLEDGE ATLAS is targeting the high-latency enterprise AI market with a new API, triggering a significant rally in its stock and related tech names.

The race to monetize large language models entered a new phase as KNOWLEDGE ATLAS (02513.HK) launched a high-speed API for enterprise clients, causing its stock to jump 17.23% and boosting the broader AI sector.
"The GLM-5.1 high-speed version API delivers a model output speed of 400 tokens per second, rendering it suitable for scenarios with extremely high requirements on response latency," the company said in a statement.
The announcement sent shares to HKD 1,184 on the morning of May 22. The positive sentiment spread to other AI-related stocks, with MINIMAX-W (00100.HK) climbing 7.84% to HKD 715 and XUNCE (03317.HK) rising 7.94% to HKD 244.8.
This move positions KNOWLEDGE ATLAS to capture high-value enterprise clients in fields like AI programming and real-time business decision-making, directly challenging competitors by focusing on the critical, and often costly, issue of inference speed.
The launch of the GLM-5.1 API signals a strategic push into the performance-critical segment of the enterprise AI market. While many model providers have focused on raw reasoning capability, KNOWLEDGE ATLAS's emphasis on a 400-token-per-second output speed addresses a key barrier to adoption for real-time applications. The service is being rolled out to select enterprise clients on the company's MaaS (Model-as-a-Service) platform, suggesting a focus on securing high-value accounts with demanding use cases.
The market's strong positive reaction reflects the significant value placed on inference performance. For investors, the stock surge indicates a belief that KNOWLEDGE ATLAS can successfully translate this technical advantage into a durable market position and a new stream of revenue from performance-sensitive customers. The concurrent rise in peer stocks like MINIMAX-W and XUNCE underscores a broader investor thesis that the AI sector is maturing from development to monetization.
This article is for informational purposes only and does not constitute investment advice.