NetApp & NVIDIA Join Forces to Revolutionize Enterprise AI Solutions

Collaboration between NetApp and NVIDIA lets businesses use AI by combining AI tools with advanced data management.

NetApp has shown off a new end-to-end integrated solutions and advanced generative AI data vision. These solutions combine NVIDIA AI software and accelerated computing with NetApp’s intelligent data infrastructure for enterprise retrieval augmented generation (RAG) to power the next generation of agentic AI apps.

This will give the NetApp ONTAP unified storage operating system new features. It can use a new NetApp global metadata namespace to connect all of the data stores used by the tens of thousands of businesses that depend on NetApp for their data infrastructure. It gives RAG access to exabytes of business data kept in clouds and on-premises hardware. This can be used to put an enterprise’s entire data estate to work, which speeds up the development of next-generation agentic AI applications.

A tried-and-true NetApp AIPod architecture, NetApp ONTAP, and the NetApp BlueXP unified control plane are all part of the answer. So are the NVIDIA NeMo Retriever and NIM microservices, which are part of the NVIDIA AI Enterprise software platform.

NetApp’s Chief Product Officer, Harv Bhela, said that businesses need to find ways to use their data to power AI apps and make huge steps forward for their companies. The NetApp data management engine and NVIDIA AI software work together to make it safe for AI apps to view and use huge amounts of data. This makes room for smart AI that acts on its own to solve tough business problems and spark new ideas.

NetApp customers will be able to easily find, search, and organize data on-premises and in the public cloud using new AI features built into NetApp AIPod, which is certified for NVIDIA DGX BasePOD infrastructure and NVIDIA OVX solutions and managed through BlueXP. These features will be based on a set of criteria and will respect existing policy-based governance criteria.

Once NetApp BlueXP is used to collect data, it can be dynamically connected to NVIDIA NeMo Retriever. There, the dataset will be processed and vectorized so that it can be used for business GenAI deployments with the right privacy and access controls. This lays the groundwork for a generative AI flywheel that will power the next generation of agentic AI apps that can safely access data on their own and do a wide range of tasks to help with customer service, business operations, financial services, and more.