2026 State of Kubernetes Optimization Report
Discover the real GPU, CPU, and Memory utilization in Kubernetes applications across AWS, Azure, and Google Cloud Platform.
Preview
Take a look inside
Understand where cloud waste concentrates and what it takes to close the gap.
Discover proven solutions that leading organizations are already using to close the efficiency gap.
Methodology
Where did we get this data from?
This report is based on our analysis of tens of thousands of Kubernetes clusters across AWS, GCP, and Azure, covering January 1 to December 31, 2025, and until April 2026 for GPU utilization. All utilization data was collected before these organizations enabled Cast AI’s automation features, providing a baseline of how clusters perform under typical conditions without automated optimization.
Pricing data is sourced from publicly available cloud provider APIs: the AWS Price List Query API, GCP Cloud Billing Pricing API, and Azure Retail Prices, sampled continuously at intervals of less than 60 seconds throughout the same period. For year-over-year comparisons, the same methodology was applied to 2025 and 2024 data from the prior year’s report.
YoY comparison
data spanning multiple years
Jan ’25 – Apr ’26
Analysis timeline
CPU and GPU
Instances covered

Cloud providers analyzed