GPU Compute Tightness Index (www.bargo.ai)

The Compute Tightness Index (CTI) has dropped to 43.8 out of 100, indicating a move into "Loose" territory as of June 29, 2026. This significant decline of 13.7 points over the past month reflects a surplus in GPU availability, with H100, B200, and H200 GPUs seeing spot discounts of 55%, 47%, and 31%, respectively, compared to their on-demand prices. Such discounts indicate that idle AI infrastructure is currently outpacing the demand for training and inference, which may impact pricing and availability strategies for developers and organizations reliant on GPU resources. This shift in the CTI is particularly important for the AI/ML community, as it signals a potential easing of costs associated with computing power, allowing for expanded experimentation and development in AI projects. The index serves as a crucial gauge for the supply side of the AI-compute ecosystem, complementing the Token Demand Index which reflects output-side consumption metrics. As capacity dynamics change, understanding this index can help stakeholders better navigate the competitive landscape of AI technology and optimize resource utilization in a more financially viable manner.