SMM learned that a computing power operation enterprise in Guizhou currently has no idle computing power resources available on its platform for scheduling, with its existing GPU servers and domestically produced AI accelerator cards all operating under full load. Recently, as multiple industry large models have entered the fine-tuning and inference deployment stages intensively, computing power demand surged in the short term, causing the platform's computing power resources to be fully strained.
It is understood that the enterprise is actively seeking domestically produced computing power resources as a supplement. As a core hub of the "East Data West Computing" project, Guizhou, according to the Guizhou Provincial Big Data Development Administration's publication *Compute to Guizhou | Digital Intelligence Empowers the Building of a Computing Power Hub*, had its total computing power scale surpass 160 EFLOPS in 2025, with the domestically produced intelligent computing share exceeding 98%. However, short-term structural supply-demand mismatch still exists, and the phenomenon of "one card is hard to find" during peak seasons occasionally occurs on some small and medium-sized computing power platforms.
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