Buddy Sandboxes
Persistent Linux machines for running AI-generated code and applications.
Simulate cloud cost, performance, and failures before deployment

Cloud World Model is a simulation service for exploring infrastructure changes before provisioning real cloud resources. Teams describe architectures and traffic conditions, then compare modeled cost, latency, errors, and resilience across supported providers, including AWS, Google Cloud, Azure, Oracle Cloud, and DigitalOcean. Failure scenarios cover events such as traffic spikes, node failures, and availability-zone outages.
The service offers interactive workflows, APIs, and a hosted MCP connection for agents evaluating deployment options. It also provides environments for reinforcement-learning experiments involving infrastructure decisions. Results are estimates with documented fidelity limits: its measured AWS benchmark covers a particular architecture, while other providers use reference documentation. Simulations support planning and hypotheses rather than replacing measurements from the actual workload.
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