The article examines how GPU utilization affects market volatility across three GPU models: H200, H100, and A100. It reveals that H200 shows a strong positive correlation between high utilization and increased volatility, while A100 demonstrates the opposite trend, suggesting that higher utilization indicates stable demand. The findings highlight the different stages of market maturity and their implications for buyers and sellers.

GPUs are critical for high-performance computing, particularly for neural network inference workloads, but achieving optimal GPU utilization can be challenging. This guide outlines three key metrics of GPU utilization—allocation, kernel, and model FLOP/s utilization—and discusses strategies to improve efficiency and performance in GPU applications. Modal's solutions aim to enhance GPU allocation and kernel utilization, helping users achieve better performance and cost-effectiveness.