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For SeaVerse, GKE Agent Sandbox reduces infrastructure costs by 60%
SeaVerse is a gaming startup building a platform for playable AI experiences created by users from simple prompts. Users can play games, chat with AI characters, or create their own interactive apps and visual patterns. The platform prioritizes a fast and easy creative loop where ideas can be quickly refined and published without traditional coding. To achieve this, SeaVerse required robust infrastructure capable of running dynamic, multi-tenant AI workloads with strong isolation and low latency. They adopted Google Kubernetes Engine (GKE) and GKE Agent Sandbox to meet these demands. GKE provided a managed foundation for Kubernetes operations, freeing their engineers from cluster maintenance. GKE Agent Sandbox offered deep kernel-level isolation for dynamic sandbox workloads using technologies like Kata Containers and gVisor. This solution enabled SeaVerse to achieve strong security boundaries without compromising user experience speed. The platform now boasts improved observability into sandbox performance, allowing for faster issue resolution. This enhanced visibility transformed previously opaque sandbox failures into transparent processes. Furthermore, GKE Agent Sandbox provided cost flexibility, enabling SeaVerse to better match resources to workloads and reduce infrastructure costs by up to 60%. The platform now supports persistent storage for evolving creations, enhancing the creator experience. SeaVerse aims to make AI experiences immediate, expressive, and connected, with GKE and GKE Agent Sandbox providing a strong foundation for future growth and innovation.