DDN is proud to be a foundational member of the NVIDIA AI Data Platform, a program designed to unify the ecosystem of data-centric partners enabling scalable, high-performance AI deployments. As AI workloads evolve—from training massive multimodal models to powering real-time inference in Retrieval-Augmented Generation (RAG) systems—the need for fast, intelligent, and resilient data infrastructure has never been greater. This is where DDN has been leading for years.
A Strategic Partnership, Years in the Making
The partnership between DDN and NVIDIA is not new—it’s a deep, proven collaboration built on technical integration, field success, and joint innovation for over 8 years. DDN is the data platform of choice behind many of the world’s most powerful NVIDIA DGX SuperPODs and AI centers of excellence.
Together, we’ve delivered performance at scale for national labs, research universities, autonomous vehicle developers, and global enterprises. Whether it’s fueling the training of foundation models or enabling high-throughput inference at the edge, DDN and NVIDIA have consistently worked side-by-side to ensure customers can turn AI potential into AI reality.
DDN Infinia: Supercharging RAG Pipelines
Among the most exciting developments in modern AI is the rise of RAG—Retrieval-Augmented Generation. These AI pipelines improve LLM responses by augmenting prompts with relevant, real-time data retrieved from vector databases, semantic stores, and structured sources. The result? More accurate, explainable, and domain-specific answers.
But powering RAG isn’t trivial—it requires:
- Ultra-low latency data access
- Massive metadata and small file performance
- High concurrency at scale
This is exactly what DDN Infinia is built for.
Infinia in Action: Accelerating RAG Pipelines
DDN Infinia is a next-generation, cloud-native data platform architected to deliver 100x faster performance for AI workloads, including vector search, feature stores, and inference-serving data pipelines. When paired with NVIDIA’s accelerated compute, Enterprise AI software, and advanced infrastructure, Infinia becomes the foundation for ultra-responsive, production-grade RAG systems—whether deployed on-prem, in the cloud, or across hybrid environments.
In order to demonstrate how DDN & NVIDIA accelerate RAG pipelines, the team paired DDN Infinia with the following:
- NVIDIA NIM™ microservices for embedding, reranking, and large language model (LLM) inference.
- NVIDIA Spectrum-X and BlueField DPUs for high-performance networking and data movement.
- A Milvus vector database optimized to run on top of Infinia.
The following steps were then executed:
- A chatbot was deployed to answer questions about DDN Infinia.
- Initially, without any domain data, the bot gave vague responses.
- After ingesting Infinia’s Admin and CLI Guides, the pipeline reindexed the content in seconds.
- A repeated query then returned detailed, accurate command-line references, showing the power of dynamic, document-based retrieval.
Performance Highlights
- 21.75x faster indexing with DDN Infinia + NVIDIA NIM vs. AWS S3 baseline
- 6.6x improvement in end-to-end RAG response generation
- Rapid ingestion and vectorization of unstructured data, with real-time updates
With just one click, enterprises can now deploy a full RAG pipeline anywhere—bringing LLMs closer to their own data while meeting strict governance, security, and compliance needs.
Why This Matters Now
Joining the NVIDIA AI Data Platform initiative formalizes DDN’s longstanding role in the AI infrastructure ecosystem. It signals to customers, partners, and developers that DDN’s platforms are:
- Certified and validated by NVIDIA
- Optimized for GPU-accelerated workflows
- Ready to scale with next-gen models and pipelines
From large-scale model training with DDN A³I to real-time RAG acceleration with Infinia, DDN continues to provide the data infrastructure that AI trusts.
