Capella AI Services Help Organizations Build, Deploy and Evolve AI-powered Applications with NVIDIA NIM
Couchbase, Inc., a leading developer data platform for mission-critical AI applications, has announced the integration of NVIDIA NIM microservices into its Capella AI Model Services. These microservices, part of the NVIDIA AI Enterprise software platform, enhance the deployment of AI-powered applications, enabling enterprises to run generative AI (GenAI) models securely and efficiently.
Capella AI Model Services, recently introduced as part of the broader Capella AI Services suite, provide managed endpoints for large language models (LLMs) and embedding models. This allows enterprises to meet essential requirements for privacy, performance, scalability, and low latency within their operational framework. By leveraging NVIDIA AI Enterprise, Capella AI Model Services minimize latency by bringing AI closer to data sources, combining GPU-accelerated performance with enterprise-grade security. This strategic collaboration strengthens Capella’s agentic AI and retrieval-augmented generation (RAG) capabilities, allowing organizations to power high-throughput AI applications while maintaining model adaptability.
“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.”
Also Read: Copado Debuts AI DevOps Apps on Slack Marketplace
Enhanced AI Model Deployment with NVIDIA AI Enterprise
Organizations deploying high-throughput AI applications often face challenges related to agent reliability, regulatory compliance, and data security. Unreliable AI responses can impact brand reputation, and unauthorized access to personally identifiable information (PII) can lead to privacy violations. Additionally, managing multiple specialized databases can result in operational inefficiencies. Capella AI Model Services tackle these issues by keeping AI models and data within a unified platform, ensuring streamlined agent operations and improved model response accuracy. Features such as semantic caching, guardrail creation, and agent monitoring within RAG workflows further enhance reliability and security.
With NVIDIA NIM integration, Couchbase customers gain access to a cost-effective solution that accelerates agent delivery through simplified model deployment. The integration optimizes resource utilization and boosts performance while incorporating pre-tested LLMs and NVIDIA NeMo Guardrails to help organizations enforce policies and mitigate AI hallucinations. NVIDIA’s rigorously tested NIM microservices ensure production-ready, reliable AI deployments tailored to 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.”
