Couchbase, Inc., a leader in developer data platforms for AI-driven applications, has announced the integration of NVIDIA NIM microservices into its Capella AI Model Services. As part of NVIDIA AI Enterprise, this collaboration enhances the deployment of AI-powered applications, offering enterprises a robust solution for running generative AI models privately with increased efficiency and security.
Advancing AI Workloads with NVIDIA AI Enterprise
Recently introduced within Capella AI Services, Capella AI Model Services provide managed endpoints for LLMs and embedding models, enabling enterprises to meet privacy, performance, scalability, and latency requirements within their organizational framework. By leveraging NVIDIA AI Enterprise, Capella AI Model Services minimize latency by bringing AI closer to the data, combining GPU-accelerated performance with enterprise-grade security to optimize AI workloads.
The integration also strengthens Capella’s agentic AI and retrieval-augmented generation (RAG) capabilities, allowing customers to power high-throughput AI applications while maintaining model flexibility.
“Enterprises require a unified and highly performant data platform to underpin their AI efforts and support the full application lifecycle – from development through deployment and optimization,” said Matt McDonough, SVP of Product and Partners at Couchbase. “By integrating NVIDIA NIM microservices into Capella AI Model Services, we’re giving customers the flexibility to run their preferred AI models in a secure and governed way, while providing better performance for AI workloads and seamless integration of AI with transactional and analytical data. Capella AI Services allow customers to accelerate their RAG and agentic applications with confidence, knowing they can scale and optimize their applications as business needs evolve.”
Streamlining AI Model Deployment with Capella AI Services
Deploying high-throughput AI applications presents challenges such as ensuring agent reliability, complying with privacy regulations, and managing multiple specialized databases. Capella AI Model Services address these issues by colocating models and data within a unified platform, facilitating real-time agentic operations.
For example, agent conversation transcripts must be captured and compared in real-time to enhance model response accuracy. Capella also includes semantic caching, guardrail creation, and agent monitoring to support RAG workflows.
By integrating NVIDIA NIM microservices, Capella AI Model Services provide Couchbase customers with a cost-effective solution that accelerates AI application delivery by simplifying model deployment while maximizing resource utilization and performance. Pre-tested LLMs and tools, including NVIDIA NeMo Guardrails, help organizations accelerate AI development while ensuring safeguards against AI hallucinations. NVIDIA’s production-ready NIM microservices are optimized for reliability and fine-tuned for specific business needs.
“Integrating NVIDIA AI software into Couchbase’s Capella AI Model Services enables developers to quickly deploy, scale and optimize applications,” said Anne Hecht, Senior Director of Enterprise Software at NVIDIA. “Access to NVIDIA NIM microservices further accelerates AI deployment with optimized models, delivering low-latency performance and security for real-time intelligent applications.”
Couchbase at NVIDIA GTC 2025
Couchbase is a silver sponsor at NVIDIA GTC 2025 in San Jose, CA. Attendees can visit booth 2004 to learn more about how Couchbase and NVIDIA are accelerating agentic AI application development.
