Cast AI

Platform observes real workload behavior, not static configurations, to identify optimization opportunities

Fix operational and security issues automatically with approval-based workflow before changes ship

Automatic node scaling based on real demand

Scale nodes up and down based on real demand, optimize GPU allocation, and automate spot instance management with one control plane

AI Agents that automatically remediate drift, update container images, auto-heal failures, and enforce policies without tickets or waiting

Automated management and optimization of spot instances

Deploy to Kubernetes clusters in minutes starting in read-only mode with no infrastructure changes required

One control plane across any cloud or on-prem infrastructure

Unified compute marketplace for optimized resource allocation

Integration with Karpenter for advanced node provisioning

Monitors SLO signals such as error rates, latency, and OOM kills

Real-time visibility into resource utilization and application performance with continuous behavior analysis

Optimize GPU allocation and resource management

Instantly matches every pod to its optimal instance type, ensuring high-demand AI and data workloads run on best hardware

Automatically adjust CPU and memory requests to match actual usage at the millicore level, eliminating over-provisioning

Predicts spot interruptions up to 30 minutes before they happen and gracefully migrates workloads

Detailed cost visibility and analytics for cloud spending

Security compliance and enterprise-grade protection