Cloud World Model
Simulates cloud infrastructure for practice, training optimization models, and validating infrastructure without real resources.
Launch screenshots from Product Hunt, Jun 2026
A cloud infrastructure simulation engine that lets users practice architecture, train optimization models, and validate infrastructure without provisioning real cloud resources. It targets developers, engineering teams, and AI agent developers, especially those learning cloud architecture or building autonomous optimization agents. It is delivered as a SaaS platform with an API and interactive demo, supporting agent-friendly pay-per-call access via the x402 protocol.
Key features
- Predict infrastructure behavior with AI
- Real-time latency, throughput, cost prediction
- Inject failures (AZ outages, traffic spikes)
- Train RL agents for cost optimization
- Simulate multi-cloud (AWS, GCP, Azure, OCI, DigitalOcean)
- Validate autoscaling thresholds before production