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Enterprise Layer Intelligence
Categories/DevOps & CI/CD/CAST AI
CAST AI

CAST AI

Founded by Yuri Frayman & Laurent Gil & Leon Kuperman in 2019

Automate Kubernetes cluster scaling, rightsizing, and cloud compute cost management across workloads

Pricing model

Free Trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Cast AI to automatically adjust Kubernetes compute resources and cut down cloud bills. The system connects to your Kubernetes clusters on AWS, Google Cloud, or Azure in read-only mode to observe actual workload behavior. It tunes pod CPU and memory requests to prevent crashes and stop overprovisioning. It also automatically selects the most cost-effective virtual machines, switches workloads to spot instances while predicting interruptions, and manages GPU allocation. Teams get clear visibility into spending by namespace, workload, and cluster.

What CAST AI does

Rightsize Kubernetes pod requests and limitsAutoscale cluster compute nodes based on real-time trafficMigrate container workloads before spot instance terminationTrack cloud compute expenditures across individual namespacesProvision compute instances suited for machine learning workloadsAutomate container bin packing across compute instancesPredicts spot instance interruptions up to 30 minutes in advance to prevent downtimeAutomatically adjusts CPU and memory requests at the millicore levelSelects and provisions cost-effective cloud instance types for running workloadsMonitors real-time Kubernetes cluster costs across namespaces and teamsAutomates container bin packing to eliminate unused compute capacityRemediates cluster configuration drift and operational errors with automated runbooksConnects to clusters in read-only mode without modifying underlying infrastructure

Pricing breakdown

Pricing model: Free Trial, Paid

Frequently asked

AWSAWSGoogle CloudGoogle CloudMicrosoft AzureMicrosoft AzureKubernetesKubernetes

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Cast AI, Kubernetes management, pod rightsizing, spot instances, cluster autoscaling, cloud cost reduction, EKS, GKE, AKS, compute bin packing, GPU management, FinOps, SRE, Karpenter replacement, container infrastructure, cloud spend