The analysis focuses on the volatility of three GPU models: H200, H100, and A100, using data from Q4 2025. It highlights how utilization levels predict future price volatility in these markets. For the H200, a correlation of +0.46 indicates that higher utilization leads to significantly increased volatility, with a 3.5 times higher volatility observed when utilization is tight. This model is still developing, showing instability as demand fluctuates. The H100 exhibits similar trends but with less dramatic effects, suggesting greater market depth absorbs short-term shocks. In contrast, the A100 shows a negative correlation between utilization and volatility, meaning higher utilization actually predicts lower volatility. This indicates that the A100 market is mature, with a stable supply that can adapt to demand changes without causing panic. Interestingly, despite having the highest average volatility, the A100's utilization reflects a steady demand rather than stress in the market. The article categorizes these GPUs into three stages of market development: formation (H200), deepening (H100), and maturity (A100), suggesting that as new GPUs are introduced, they will likely follow the pattern seen in the H200. For users and providers, understanding these dynamics is essential. H200 users should closely monitor utilization, as spikes above 65% could signal significant price volatility within a week. H100 users have more flexibility but should remain cautious once utilization exceeds 66%. A100 users benefit from high utilization, which signals a stable demand environment. Sellers can capitalize on these differences by adopting strategies suited to each market's characteristics, like being agile during H200 spikes and planning inventory for H100.