cast.ai
About cast.ai
Cast AI provides software that optimizes Kubernetes clusters and the resources beneath them. It rightsizes workloads, provisions nodes from node templates and consolidates underused nodes, within policies the customer sets.
Products
- OMNI Compute: Provisions nodes in other clouds and regions and schedules eligible workloads there.
- Database Optimizer: Sits in front of PostgreSQL and MySQL to cache repeated reads, pool connections and flag slow queries.
- Storage Optimization: Expands volumes before they fill and tunes IOPS and throughput on GKE and EKS.
Used for
- Setting workload CPU and memory requests from observed usage.
- Finding GPU capacity in other clouds and regions when the local region runs out.
Who it is for
- Teams running Kubernetes on EKS, GKE, AKS or OpenShift on AWS.
From cast.ai's own website, read 2026-10-23. How we build listings.
How to evaluate Cloud Cost Management
This is how the CIOPages Research Team evaluates this category. It is not an assessment of cast.ai. It comes from our Cloud Cost Management & FinOps buyer guide.
25%
Cost Visibility & Allocation Accuracy
Multi-cloud aggregation on a common (ideally FOCUS) schema; Kubernetes pod/namespace/cluster allocation; treatment of shared and untagged cost; virtual/retroactive tagging that does not require re-tagging infrastructure; AI/GPU spend attribution
25%
Rate & Commitment Optimization
Reserved Instance, Savings Plan, and committed-use modeling and recommendations; coverage/utilization tracking; whether the tool only advises or also purchases and continuously rebalances commitments; risk controls on automated buying
20%
Usage Optimization & Automation
Rightsizing on real utilization (not averages); idle-resource detection and scheduled or automated shutdown of non-production; spot/preemptible orchestration; Kubernetes node and pod rightsizing; what executes automatically versus what only recommends
15%
Budgeting, Forecasting & Anomalies
Budget tracking with variance; trustworthy forecasting against committed and on-demand mix; anomaly detection that alerts before spend runs away; what-if modeling for migrations and commitment changes; unit-economics metrics
10%
Accountability & Workflow Integration
Showback/chargeback finance will defend; cost surfaced where engineers work (Slack, Jira, CI/CD, pull requests); policy and governance guardrails; whether recommendations create trackable tickets rather than dead-end reports
5%
Platform, Pricing & Ecosystem Fit
API and FOCUS-export quality; SSO/RBAC and tenant isolation; whether the pricing unit (percentage of managed spend vs. flat) aligns with your growth; ownership stability after the sector’s consolidation; depth of professional services
Other Cloud Cost Management Vendors
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Quick Facts
cast.ai Pricing pageCategoryCloud Infrastructure
SubcategoryCloud Cost Management
PricingContact sales / custom quote
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