- DevOps & Platform Teams: Automate Kubernetes resource optimization and reduce manual toil while improving infrastructure efficiency.
- Cloud Architects & Infrastructure Engineers: Gain real-time cost visibility and rightsizing suggestions to optimize cluster performance.
- Enterprises Running AI Workloads: Leverage LLM optimization tools to reduce GPU and compute costs for GenAI applications.
- FinOps & Cost-Control Teams: Track cloud spend across clusters, namespaces, and workloads—and act quickly on cost outliers.
- Engineering Leaders Across Verticals: Used by both large-scale brands and rising startups to boost resource efficiency, with minimal setup.
How to Use It?
- Connect Your Kubernetes Environment: Deploy Cast AI to any cloud or on-prem cluster for instant optimization.
- Enable Cost Savings Automations: Automatically rightsize workloads, bin-pack nodes, utilize spot instances, and scale clusters dynamically.
- Monitor in Real Time: Gain insights into spending across compute, memory, storage, and GPU at granular levels.
- Secure Your Infrastructure: Automate detection and remediation of vulnerabilities and misconfigurations in Kubernetes clusters.
- Optimize AI Workloads: Use cost and performance dashboards to deploy the most efficient LLMs for your GenAI use cases.
- First of Its Kind Automation: Combines cost reduction, performance improvement, and security in a single Kubernetes automation suite.
- Rapid ROI: Many users report cost savings of 40–60% or more, often within weeks of deployment.
- Real-Time Behavior: Adjusts resources continuously based on demand, far exceeding manual tuning capabilities.
- Cross-Cloud & Tool Compatibility: Works with all major cloud providers and integrates well with DevOps/Infra tools.
- Forward-Thinking & Scalable: Adds AI optimization paths, like LLM cost/resource routing, extending its use beyond just cost and performance.
- Delivers substantial cloud cost reductions with minimal manual effort
- Holistic platform covering cost, performance, security, and AI workloads
- Seamless cross-cloud deployment and strong ecosystem integrations
- Offers real-time insights and proactive automation for Kubernetes environments
- Strong early funding and customer growth show market trust and momentum
- Pricing details are not public—likely oriented toward larger or enterprise users
- Full value may require solid Kubernetes and DevOps maturity to deploy effectively
- Automated AI logic may conflict with manual tuning strategies initially
Free
Free
- Unlimited Kubernetes cost and performance monitoring.
Growth
$ 1,000.00
- Advanced Infrastructure optimization with automated scaling.
- + $5 per CPU per month.
Enterprise
Custom
- Complete Infrastructure optimization with entreprise features.
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Reviews
Rating Distribution
Average score
Popular Mention
FAQs
Case studies and investor insights suggest typical savings of 20–60% on cloud costs.
Yes—there is LLM optimization for AIOps, where Cast AI selects cost-efficient and performant AI models dynamically.
It works across AWS, GCP, Azure, and even on-prem Kubernetes environments.
Cast AI automatically rightsizes, scales, and secures clusters in real time—far beyond static or manual approaches.
No, you can use our savings insights and cost reports across any number or size of clusters.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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