Shishi Technology Launches Domestic Token Optimization Factory 'Vectron'
At the WAIC 2026 event, Chinese AI infrastructure company Shishi Technology officially unveiled its domestically developed Token optimization factory, named 'Vectron'. The product is designed to convert every unit of computing power into stable and efficient Tokens. Shishi Technology claims that under equivalent computing power investment, Vectron can produce more effective Tokens. Furthermore, the company states that with the same amount of video memory, the system can run longer contexts more stably.
The introduction of Vectron by Shishi Technology highlights the growing domestic capabilities in China's AI infrastructure sector, particularly in optimizing computational resources for large language models. By focusing on efficient Token generation and stable long-context processing, the company aims to address key bottlenecks in AI deployment. This development reflects a broader trend of national efforts to build self-reliant AI ecosystems, potentially influencing global competition in AI hardware and software solutions. The emphasis on maximizing output from existing compute power suggests a strategic response to the increasing demand for AI services and the associated costs.
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