Frost & Sullivan North American Technology Innovation Leadership Recognition - Cast AI

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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.
Kimchi by Cast AI Governed AI coding agents.
Agents and operations
Kimchi Agents Agents open PRs for infra fixes. You review and merge.
CastPilotAsk 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
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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Pricing
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Frost & Sullivan North American Technology Innovation Leadership Recognition

Cast AI Write-Up

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Platform

Kubernetes Optimization
Cast Radar
Storage Autoscaler
Database Optimizer
OMNI Compute
GPU sharing
Agentic workflows
CastPilotNew
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

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Automation Academy
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Cast AI vs PerfectScale
Cast AI vs ScaleOps

Company

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