SiliconFlow describes enterprise LLM deployment approach and reports lower inference costs in one customer case

SiliconFlow reorganized about 50 machines at one customer to serve roughly 10 models through Serverless APIs, cutting the cost per million tokens for one Qwen model from over 100 yuan to under 10 yuan, according to solutions director Tang Anbo. Speaking at a summit for CIOs and executives at central and state-owned enterprises, Tang described how SiliconFlow uses model operations, inference optimization, and resource scheduling to turn computing capacity into token services. The customer example illustrated that approach; the reported cost reduction applied to one Qwen model.

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