CAST AI

AI driven Kubernetes automation platform that reduces cloud costs by 50% or more through automated autoscaling, spot instance orchestration, and intelligent bin packing with zero downtime container migration.

About CAST AI

CAST AI is an all in one Kubernetes automation, optimization, security, and cost management platform founded in 2019. The platform abstracts layers of provider specific technical complexity to help teams manage Kubernetes operations across AWS, Azure, Google Cloud, Oracle Cloud, and on premises environments through Cast AI Anywhere. Trusted by over 2,100 companies globally, CAST AI enables organizations to slash cloud bills by automatically redistributing workloads, maximizing resource utilization, and rightsizing infrastructure without manual intervention.

The platform operates through a lightweight read only agent that analyzes cluster behavior and connects to cloud APIs for autonomous optimization. CAST AI features advanced capabilities including zero downtime container live migration for stateful applications, automated spot instance lifecycle management with fallback mechanisms, and predictive rebalancing that replaces suboptimal nodes with cost efficient alternatives. The system continuously analyzes actual CPU and memory usage patterns to dynamically adjust resource allocations, eliminating the guesswork typically involved in setting Kubernetes requests and limits.

CAST AI addresses the critical challenge of cloud waste in Kubernetes environments, where industry benchmarks show applications typically use only 10% of allocated CPU and 23% of allocated memory. By automating instance selection, bin packing, workload autoscaling, and commitment utilization across multiple clusters, the platform enables engineering teams to focus on business critical development rather than infrastructure management. The company was recognized as an IDC Innovator and G2 Cloud Cost Management leader, and received the 2025 AI TechAward in the AI for DevOps Category.

Key Features

Automated Cluster Autoscaler: Dynamically provisions the most cost efficient compute resources and scales clusters up or down based on real time requirements using advanced bin packing and pod placement scheduling.
Zero Downtime Live Migration: Moves running workloads between nodes without interruption for stateful apps and long running jobs while performing maintenance and cost optimization, including workloads backed by persistent storage.
Spot Instance Automation: Automates the entire Spot Instance lifecycle including interruption handling, spot diversity management, and automatic fallback to on demand nodes during spot droughts to balance cost and reliability.
Intelligent Rebalancing: Brings clusters to the most optimal state by replacing suboptimal nodes with new cost efficient ones, either on a predefined schedule or instantly, while respecting workload requirements.
Workload Autoscaler: Continuously monitors actual CPU and memory usage to dynamically adjust resource requests and limits without manual intervention or downtime, including in place pod resizing.
Cost Monitoring & Visibility: Provides real time and historical cost breakdowns across clusters, namespaces, workloads, and allocation groups with anomaly detection and Grafana integration.
Memory Event Handling: Immediately provisions additional resources when pods run out of memory to keep workloads stable and prevent application downtime.
GPU Optimization: Automates provisioning of hyper efficient GPU instances for AI workloads, including support for AWS Inferentia and NVIDIA driver configuration management.

Pricing

CAST AI offers flexible pricing across workload optimization and infrastructure optimization modules:

Free Plan: $0/month Includes cost monitoring, savings reports, and visibility into cluster efficiency across unlimited clusters with no limits on size or number.
Growth Plan: $1,000/month + $5/CPU/month Includes all optimization features such as automated autoscaling, spot instance management, rebalancing, workload rightsizing, and bin packing.
Enterprise Plan: Custom pricing Tailored solutions for large scale deployments with advanced security features, dedicated support, and custom integration requirements.

All plans include access to the cost monitoring dashboard, API integration, and multi cloud support for AWS, Azure, and GCP.

Pricing last updated: February 22, 2026 at 10:30 AM

Use Cases

Automated Kubernetes cost reduction through intelligent autoscaling and spot instance orchestration
Real time visibility and allocation of cloud costs across teams, namespaces, and workloads for FinOps
Zero downtime infrastructure optimization for stateful applications requiring persistent storage
GPU and AI workload optimization to reduce expenses for machine learning training and inference

Pros & Cons

Pros:

Free forever cost monitoring tier with unlimited clusters and no credit card required
Zero downtime live migration enables optimization of stateful workloads previously considered non movable
Multi cloud support including AWS, Azure, GCP, Oracle Cloud, and on premises via Cast AI Anywhere

Cons:

Growth plan base fee of $1,000/month may be prohibitive for small startups with limited clusters
Optimization features require installing an agent in the cluster, which may face security team scrutiny in highly regulated environments

Integrations

Amazon EKS, Azure AKS, Google GKE, Oracle OKE, Red Hat OpenShift, Grafana, Prometheus, Terraform, Helm, Slack, Datadog, AWS Inferentia, NVIDIA GPUs

FAQ

How does CAST AI pricing work?

CAST AI offers a free plan for cost monitoring with unlimited clusters. For automation features, the Growth Plan costs $1,000 per month plus $5 per CPU per month. Enterprise plans offer custom pricing for large scale deployments with advanced requirements.

What is the difference between the free and paid plans?

The free plan provides cost monitoring, savings reports, and visibility features across unlimited clusters. Paid plans add automation capabilities including autoscaling, spot instance management, workload rightsizing, rebalancing, and zero downtime migration for stateful workloads.

How does CAST AI handle Spot Instance interruptions?

CAST AI automates the entire Spot Instance lifecycle including interruption handling with a two minute warning system, automatic fallback to on demand nodes during spot droughts, and spot diversity management to minimize interruption risks. The platform automatically moves workloads to new instances or on demand nodes when interruptions occur.

Can CAST AI optimize stateful workloads with persistent storage?

Yes, CAST AI features zero downtime container live migration that can move running workloads between nodes without interruption, including stateful apps and long running jobs backed by persistent storage. This unlocks advanced bin packing and optimization for workloads previously considered non movable.

Does CAST AI support on premises or hybrid Kubernetes clusters?

Yes, Cast AI Anywhere extends platform capabilities to on premises, hybrid, and alternative cloud environments. While it does not include all features available for major cloud providers, it delivers significant cost savings through workload optimization and resource consolidation for any Kubernetes cluster.

How quickly can I see results with CAST AI?

Most users see actionable recommendations within minutes of connecting their clusters. The platform provides immediate visibility into cost breakdowns and optimization potential. Actual cost reductions are typically realized within the first billing cycle after implementing automation policies.

Compare CAST AI with 11 similar tools.

View CAST AI alternatives

Categories:

Cloud Cost Management Tools