NetApp and Nvidia are co-engineering the Novus storage architecture to decouple metadata and data operations, aiming to improve GPU efficiency for AI-driven production workloads. The system introduces API-driven controls to support high-concurrency demands from agentic AI applications in enterprise environments.
The shift toward AI factories requires a fundamental rethink of storage to prevent costly GPU idle time. By isolating metadata, NetApp ensures that small transactional requests do not stall the massive data throughput required for model checkpoints and inference. For the streaming and media ecosystem, this architecture supports the transition to agentic AI, where thousands of automated processes may simultaneously request data permissions. This move signals a broader industry trend toward software-defined, API-first infrastructure that abstracts complex storage management for data science teams. Watch for Nvidia to integrate these storage-aware optimizations deeper into its enterprise AI reference architectures to drive power efficiency.
NetApp and Nvidia have launched the Novus architecture, a storage system designed to optimize AI factory performance. By decoupling transactional metadata from sequential data transfers, the system prevents GPU bottlenecks and resource queuing. This allows enterprises to scale AI operations efficiently, ensuring expensive compute resources remain fully utilized during production workloads.
The Novus architecture is designed to optimize AI factory storage by decoupling metadata from data operations to eliminate GPU bottlenecks and prevent resource queuing.
Novus supports agentic AI by allowing thousands of concurrent AI agents to access data simultaneously, ensuring that small transactional requests do not stall the massive data throughput required for model checkpoints and inference.
No, the system features API-driven control planes that allow AI teams to provision storage without needing deep storage engineering expertise.
The design specifically targets 'Phase 2' AI deployments, where enterprises are transitioning from initial experimentation to mainstream production.
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