Home > AI Solutions > Gen AI > White Papers > Dell Scalable Architecture for Retrieval-Augmented Generation (RAG) with NVIDIA Microservices > Solution approach
Central to our deployment strategy is integrating the pivotal feature from Kubernetes that our solution capitalizes with the Persistent Volume (PV) storage subsystem. This subsystem abstracts the details of storage provisioning and consumption, enabling applications like NVIDIA RAG to efficiently access the persistent storage they require for content, databases, and AI models. This is where Kubernetes' ability to allow users to request storage using Persistent Volume Claims (PVC) becomes invaluable, mainly when using Storage Classes for tailored specific needs.
We harness the capabilities of Dell Technologies Container Storage Modules (CSM) to enable a simple and consistent integration with Kubernetes Container Storage Integration (CSI) with PowerScale OneFS. This leverages the hardware's robustness and scalability to meet the demanding storage requirements of NVIDIA RAG applications. The Container Storage Interface (CSI) driver for Dell PowerScale is essential, facilitating seamless integration and optimized management, provisioning, and scaling of persistent storage within Kubernetes clusters. This ensures our solution benefits from high-performance and scalable storage, highlighting the operational simplicity and consistency Kubernetes' storage management capabilities provide.