Cast AI
UnclaimedAutomate Kubernetes and optimize cloud costs with intelligent, continuous optimization.
Visit WebsiteReviews onG2
190 reviews trackedThe Bottom Line
Entry price
Paid plans only
Biggest pro
Significant cloud cost savings (reported 40-70%)
Biggest con
Primarily focused on Kubernetes, may not be suitable for non-Kubernetes environments
TL;DR - Cast AI
- Automates Kubernetes management and optimizes cloud costs.
- Continuously rightsizes workloads, scales clusters, and orchestrates Spot Instances.
- Offers real-time cost visibility and enables zero-downtime migration of stateful workloads.
Pricing: Paid only
Best for: Enterprises & pros
4.6/5 across review platforms
What is Cast AI?
Cast AI is a Kubernetes automation and cost optimization platform designed to run Kubernetes on autopilot. It uses intelligent agents to automatically redistribute workloads, maximize resource utilization, and significantly reduce cloud costs without sacrificing performance. The platform addresses common Kubernetes challenges such as overprovisioning, manual scaling, performance drift, and cost overruns by providing continuous optimization.
This tool is ideal for DevOps teams, SREs, and organizations running containerized applications at scale who struggle with managing Kubernetes infrastructure efficiently. Cast AI helps eliminate cloud waste through automated rightsizing, bin packing, and Spot Instance orchestration, freeing up engineering teams to focus on innovation rather than infrastructure management. It also offers unique capabilities like Container Live Migration for stateful workloads, ensuring zero downtime during optimization and migration.
Available on: Web
Pros & Cons
Pros
- Significant cloud cost savings (reported 40-70%)
- Increased application performance and stability
- Frees up DevOps team time from manual scaling and capacity planning
- Automated management reduces human error and operational overhead
- Supports migration of stateful workloads without downtime
Cons
- Primarily focused on Kubernetes, may not be suitable for non-Kubernetes environments
- Advanced features like Container Live Migration are currently limited to AWS, with Azure and Google Cloud coming soon
Ratings Across the Web
4.6(190 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Automated Kubernetes cluster optimization (rightsizing, bin packing, Spot Instance orchestration)Continuous workload optimization (adjusts resource requests/limits)Real-time Kubernetes cost monitoring (by cluster, namespace, label, workload)LLM optimization for GPU workloads (autoscaling based on job demand, queue depth)Database optimization (instance sizing, off-hours shutdowns, capacity reclamation)Karpenter optimization extension (workload-aware, safer consolidation, cost visibility)Container Live Migration (zero-downtime migration of stateful workloads)Integration with Kubernetes
Pricing Plans
Pricing checked Jun 26, 2026
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4.6/5
Across 190 verified user reviews on G2
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Cast AI FAQ
How does Cast AI help optimize cloud costs for Kubernetes environments?
Cast AI uses intelligent agents to automatically redistribute workloads and maximize resource utilization within Kubernetes clusters. This continuous optimization helps eliminate cloud waste through automated rightsizing, bin packing, and Spot Instance orchestration, leading to significant cost savings.
Which teams benefit most from implementing Cast AI?
DevOps teams, SREs, and organizations running containerized applications at scale are the primary beneficiaries of Cast AI. It helps these teams manage Kubernetes infrastructure more efficiently and frees them from manual scaling and capacity planning tasks.
What kind of limitations does Cast AI have regarding cloud environments?
Cast AI is primarily focused on Kubernetes environments, meaning it may not be suitable for non-Kubernetes infrastructure. Additionally, advanced features like Container Live Migration are currently limited to AWS, with support for Azure and Google Cloud planned for the future.
How does Cast AI compare to Kubecost in managing Kubernetes expenses?
Cast AI distinguishes itself by offering intelligent, continuous optimization and automation to actively reduce cloud costs and manage Kubernetes infrastructure on autopilot. While Kubecost provides cost monitoring and allocation, Cast AI focuses on automated actions like workload redistribution and Spot Instance orchestration to achieve savings and performance improvements.
Does Cast AI include a free tier for users to evaluate its features?
Cast AI is a paid product and does not include a permanently free tier. It offers advanced automation and optimization capabilities designed for production Kubernetes environments.
Can Cast AI manage stateful workloads without causing downtime?
Yes, Cast AI offers unique capabilities like Container Live Migration, which allows for the migration of stateful workloads without downtime. This ensures continuous operation during optimization and migration processes.
How does Cast AI improve application performance and stability?
Cast AI enhances application performance and stability by continuously optimizing resource allocation and redistributing workloads. This automated management reduces human error and operational overhead, preventing performance drift and ensuring efficient resource utilization.
Source: cast.ai