During the first half of 2026, Paratera Technology posted computing power service revenues nearing 900 million yuan, accompanied by a staggering sevenfold increase in net profit. In the AI sector, GPU resources are in such high demand that there is virtually no idle capacity available. However, the utilization rate of intelligent computing centers across the country paints a different picture, hovering at a mere 20% to 30%. Many of these centers are either incurring losses or barely managing to cover their operational costs. This creates a stark dichotomy: on one hand, leading enterprises are fiercely competing for computing power; on the other, local computing resources sit idle, underutilized. The issue isn't a lack of demand for AI among enterprises; rather, it's the challenge of finding the perfect match between computing power and their specific needs. Businesses are often unsure of how to select and deploy the right resources to meet their requirements effectively. In response, small computing power rental companies in Shenzhen, along with industry leaders like Paratera Technology and the innovative "Computing Power Supermarket" in Jiangning, Nanjing, have stepped in to bridge the gap. They've effectively boosted computing power turnover by accepting small orders, integrating and scheduling computing network resources efficiently, and offering flexible pay-as-you-go models. These initiatives have transformed idle computing power into standardized, accessible services. The crux of profitability in the computing power business lies in maximizing GPU utilization. Even when GPUs are idle, they continue to depreciate, making increased utilization a key strategy for cost reduction. Looking ahead, the opportunities in the computing power market will hinge on enhancing the ability to generate billable outputs from GPU resources. This involves not only technical aspects such as computing power scheduling and inference optimization but also customer-facing elements like model deployment and tailored vertical industry applications. To thrive in this evolving landscape, intelligent computing centers should prioritize infrastructure development. Meanwhile, companies with deep industry experience should take the lead in business integration for enterprises. As the industry matures, competition will gradually shift from a focus on computing power scale to a greater emphasis on utilization efficiency and commercialization capabilities.