2026 GPU Price Report
The 2026 GPU Price Report from CAST AI analyzes cloud GPU pricing trends, revealing significant cost variations across providers and regions. It highlights that on-demand GPU instances remain expensive, with savings possible through spot instances and reserved capacity, while also noting a shift toward newer, more efficient GPU models impacting overall pricing dynamics.
Background
- This report tracks the cost of renting GPU compute (Nvidia A100, H100, H200, B100, B200, etc.) across major cloud providers (AWS, Azure, GCP) and specialized GPU cloud services (CoreWeave, Lambda, RunPod, Vast.ai, etc.).
- GPU pricing has been volatile due to AI boom demand, supply constraints (Nvidia manufacturing lead times), and new entrants offering cheaper alternatives to the Big Three clouds.
- Key metrics: price per GPU-hour, availability/scarcity, reserved vs. on-demand pricing, and inter-region variation. The 2026 edition likely reflects the impact of Nvidia's Blackwell architecture ramp and any softening or tightening of demand since the AI infrastructure buildout peak.
- Why it matters: GPU compute cost is the single largest expense for most AI startups, model training runs, and inference services; small pricing shifts can change a company's unit economics or training budget.