NetApp’s Novus tackles metadata bottlenecks in AI data infrastructure

What happened

NetApp’s Novus tackles metadata bottlenecks in AI data infrastructure, according to SiliconANGLE. AI data infrastructure must support growing GPU (a chip built for many calculations at once, used for graphics and AI) clusters while making enterprise data usable for models and agents. is tying intelligent data infrastructure to production AI through a unified approach to storage and data management.

Fragmented data and governance designed around manually applied policies can prevent enterprises from realizing returns on AI investments, according […] The post NetApp’s Novus tackles metadata bottlenecks in AI data infrastructure appeared first on SiliconANGLE . UPDATED 18:58 EDT / OCTOBER 05 2026 AI NetApp’s Novus tackles metadata bottlenecks in AI data infrastructure by Sloane Kali Faye AI data infrastructure must support growing GPU clusters while making enterprise data usable for models and agents.

Fragmented data and governance designed around manually applied policies can prevent enterprises from realizing returns on AI investments, according to Syam Nair (pictured, left), chief product officer of NetApp. “There’s a lot of investment happening, lots of data applications are ready, models are ready, but most enterprises don’t get the returns,” he said.

“Let’s provide that intelligent data infrastructure where there’s a unified storage that spans the entire ecosystem of wherever the infrastructure is.” Its Data Director manages metadata separately from the stored data, allowing each to scale independently. “The metadata is the key,” he said.