About Cast AI

Cast AI offers a platform that automates Kubernetes cost and resource optimization, including node scaling, workload rightsizing, and GPU management. It supports AWS, Google Cloud, Azure, and Oracle Cloud and runs read-only before automation is enabled. It reports more than 2,100 customers.

Common use cases

  • Kubernetes cost reduction
  • GPU utilization
  • Multi-cloud scaling
  • Cluster reporting

Social listening

What people are saying about Cast AI

Reviewers value Cast AI for lower Kubernetes compute cost, less manual node management and helpful support, and buyers may confirm reporting depth.

What stands out

  • A reviewer reports lower Kubernetes compute cost and less manual node provisioning and scaling.
  • Reviewers describe it as stable and scalable with helpful support.

Things to consider

  • Worth confirming reporting and cost-allocation views.
Sources (2)

Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.

Products and services

Kubernetes Optimization

Rightsizing and node consolidation.

OMNI Compute

GPU capacity provisioning across clouds.

Database Optimizer

Caching and pooling for PostgreSQL and MySQL.

Cast Radar

Cost and reliability reporting.

Recent product updates

  • January 2026: launched OMNI Compute, a marketplace that lets Kubernetes clusters use GPU and other compute capacity across cloud providers and regions, aimed first at AI inference.

Key features

  • Node autoscaling
  • Workload rightsizing
  • GPU sharing
  • Spot instance use
  • Cost reporting
  • MCP server

Integrations

  • AWS
  • Google Cloud
  • Azure
  • Terraform
  • Grafana
  • Prometheus
  • Pulumi

Cast AI alternatives

FAQs

Does it offer a trial?

Yes, 30 days without a credit card.

Which clouds?

AWS, Google Cloud, Azure, and Oracle.

Is it agent-based?

It installs an agent in the cluster and starts in read-only mode.

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