Cast AI, the leading Application Performance Automation platform, today announced the release of its latest GPU report, a deep dive into the evolving economics of cloud-based compute powered by NVIDIA’s A100 and H100 GPUs. The report analyzes real-world pricing and availability data across the top three cloud providers, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and reveals a market defined by both extreme volatility and strategic opportunities. GPU pricing is at an inflection point – likely to emerge within the next two quarters – that could redefine procurement strategies and unlock new efficiencies across the industry.
Key Findings:
- GPU pricing and availability are highly volatile. The cost and availability of A100 and H100 GPUs fluctuate dramatically across time and regions. Enterprises relying on static contracts or fixed regions are at growing risk of overspending and underutilization.
- Reserved Instances dominate, but at a cost. The high cost of on-demand GPU instances has made Reserved Instances the dominant procurement model. However, this shift has effectively turned the cloud back into a set of glorified data centers: rigid, expensive, and slow to adapt.
- Cloud elasticity is an illusion without automation. The promise of cloud flexibility is largely unrealized unless organizations deploy automation with agents that continuously discover, assess, and provision the most cost-effective compute resources.
Market Opportunities:
- An inflection point is approaching. With more A100 and H100 units entering the market from expiring reservations in 2026, pricing pressure on vendors is expected to increase, causing prices to fall. The Spot market is becoming increasingly viable for inferences, setting the stage for a fundamental shift in GPU procurement strategies over the next two quarters.
- Dynamic workload migration unlocks massive savings. Teams that can dynamically shift workloads across regions and platforms can achieve significant cost advantages. For example:
- AWS A100 Spot Instances: savings of up to 80% by selecting the optimal region.
- H100 in Europe: up to 48% cost reduction, and nearly 2x efficiency gains during peak windows.
- AWS H100 Spot Instance dropped 88% in price between January 2024 and September 2025, translating to an 8.65x improvement in cost efficiency.
“Cloud GPU pricing is no longer just a cost center, it’s a strategic lever. Teams that embrace automation, stay agile across regions and providers, and adopt dynamic procurement models will lead the next wave of cloud-native innovation. There is an uncomfortable truth to this: adapt or overpay,” said Laurent Gil, Co-founder and President at Cast AI.
