Couchbase has recently made two significant announcements: the integration of its Capella AI Model Services with NVIDIA NIM microservices, and the launch of Couchbase Edge Server. This integration provides a powerful solution for privately running generative AI models while meeting privacy, performance, scalability, and latency requirements within organizational boundaries. The collaboration helps enterprises overcome challenges when building high-throughput AI applications, including ensuring agent reliability and compliance, preventing PII data leaks, and reducing operational overhead. Couchbase Edge Server is designed to address the need for fast, reliable apps that work offline across environments, solving real-world edge application challenges. This release addresses a growing market need, enabling applications to maintain connectivity, process data locally, and synchronize with central systems when connectivity returns, making it ideal for scenarios involving disconnected operations, limited bandwidth, and resource-constrained environments. The innovations empower developers and enterprises to build and scale applications and AI agents with complete flexibility, unifying transactional, analytical, mobile, and AI workloads into a seamless, fully managed solution that delivers exceptional performance, scalability, and cost efficiency from cloud to edge and everything in between.