Here’s the translation:
The NetApp AIPod solution, based on the NVIDIA AI Data platform, enables faster adoption of AI agents and enhances accuracy in information retrieval through RAG and inference.
The digital transformation driven by artificial intelligence has taken a new step with the announcement of NetApp, which will closely collaborate with NVIDIA to deploy enterprise infrastructures capable of supporting advanced workloads for generative AI and intelligent agents. The NetApp AIPod solution, powered by the ONTAP storage operating system and validated on the NVIDIA AI Data platform, promises to revolutionize how organizations manage, classify, and leverage their data in real-time.
In the context of Computex 2025, this announcement reinforces the strategy of both companies to facilitate the development of corporate “AI factories.” The key: a unified, intelligent, and scalable data infrastructure that eliminates silos, reduces complexity, and ensures regulatory compliance.
A New Standard for Enterprise AI
NetApp AIPod is not just a data container: it is a solution that integrates NVIDIA’s compute acceleration with semantic search, inference, and retrieval-augmented generation (RAG) features. By utilizing NVIDIA NeMo Retriever Microservices and NetApp’s scalable storage, companies will be able to feed AI agents with direct and secure access to vast volumes of structured and unstructured data.
“A complete and unified understanding of business data is the differentiating factor in the era of intelligence,” explained Sandeep Singh, Senior Vice President and General Manager of Enterprise Storage at NetApp. “With the rise of agent-based AI, unified storage becomes an urgent necessity beyond multi-protocol. It is essential to eliminate silos from core to cloud.”
AIPod: Beyond Traditional Storage
The recent NetApp Data Complexity report reveals that 79% of technology leaders consider it essential to unify their data repositories to maximize AI value by 2025. In this context, the AIPod solution not only offers high-performance storage but also advanced metadata and vectorization capabilities to enable more relevant and accurate queries.
According to Rob Davis, Vice President of Storage Technologies at NVIDIA, “Intelligent agents are only effective if they have quick access to high-quality data. The combination of the NVIDIA AI Data platform with NetApp’s capabilities brings AI directly into the heart of business operations.”
Use Cases: Agent-Based AI for Business
Thanks to this infrastructure validated by NVIDIA, companies in sectors such as healthcare, financial services, or industry will be able to implement AI solutions that analyze and solve complex problems with multiple reasoning steps. From automated document classification to generating specialized responses, AI agents trained with NetApp AIPod will operate with greater precision and security.
Additionally, by integrating governance mechanisms, cyber resilience, and observability, the solution strengthens the regulatory and operational guarantees demanded by business environments.