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  • Kubernetes and data
    • Kubernetes OptimizationRight-size workloads with Karpenter or Cast AI’s autoscaler.
    • Cast RadarCost, error rate and latency across every cluster.
    • Storage AutoscalerGrow volumes before they fill. Tune IOPS to demand.
    • Database OptimizerFind slow queries. Cache reads and pool connections.
    GPU and AI
    • OMNI ComputeUse GPUs in other clouds and regions when yours run out.
    • GPU sharingShare one GPU across workloads, and rightsize them.
    Agents and operations
    • Agentic workflowsAgents open PRs for infra fixes. You review and merge.
    • OpsPilotAsk about pods, costs and health in plain English.
    • MCP serverQuery cluster cost and health from your AI assistant.
    Environments
    • Cast AI AnywhereOptimize on-prem and bare metal with your autoscaler.
    • CloudsRuns on AWS, GCP, Azure and Oracle Cloud.
    • On-premisesSupports OpenShift, Tanzu, kOps and bare metal.
  • Cost and performance
    • Reduce infrastructure wasteRight-size resources and consolidate capacity.
    • Autoscale persistent volumesExpand storage as usage grows.
    • Reduce repeated database readsCache queries to reduce database load.
    GPU and AI
    • Access and optimize GPU capacitySource GPUs across clouds and improve utilization.
    Operations
    • Reduce manual operationsAutomate routine tuning within your policies.
    • Verify production impactStart read-only and validate changes before expanding.
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Platform

  • Kubernetes Optimization
  • Cast Radar
  • Storage Autoscaler
  • Database Optimizer
  • OMNI Compute
  • GPU sharing
  • Agentic workflows
  • OpsPilotNew
  • MCP server
  • Cast AI Anywhere

Customers

  • Customer stories
  • Community

Solutions

  • Reduce infrastructure waste
  • Reduce manual operations
  • Access and optimize GPU capacity
  • Reduce repeated database reads
  • Verify production impact
  • Autoscale persistent volumes

Resources

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  • Integrations
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  • Release notes

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  • Pricing
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