Shaoguan to build ‘Bay Area Computing Valley’ with 75 PFLOPS AI capacity by 2030

Shaoguan's plan signals a deliberate move to anchor AI infrastructure in the Greater Bay Area, potentially reshaping regional data flow and energy demand. The scale of targeted capacity suggests a competitive push among Chinese cities to host compute-intensive workloads, which could influence where AI development concentrates. What matters next is whether the draft becomes concrete investment and how it aligns with broader national computing layouts, as execution will determine if this is a genuine hub or an aspirational label. The open question is whether regional demand can absorb such massive supply without creating idle capacity.