Scaling Beyond AI Pilots: How Your Storage Stack Changes for Production RAG and Agentic AI
Quick Answer: AI pilots often rely on small datasets, manual data transfers, and a limited number of users. Production RAG and agentic AI need fast access to current information, support for simultaneous requests, and consistent security controls. The system must search larger amounts of changing data, serve more users, and complete complex tasks while keeping sensitive information secure.
- ▪Quick Answer: AI pilots often rely on small datasets, manual data transfers, and a limited number of users.
- ▪Production RAG and agentic AI need fast access to current information, support for simultaneous requests, and consistent security controls.
- ▪The system must search larger amounts of changing data, serve more users, and complete complex tasks while keeping sensitive information secure.
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| Original publisher | PCMag |
| Canonical URL | https://www.pcmag.com/articles/scaling-beyond-ai-pilots-how-your-storage-stack-changes-for-production |
| Publication time | Tue, 29 Sep 26 14:05:11 +0000 |
| Retrieval time | 2026-09-29T14:31:22.605Z |
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Opening excerpt (first ~120 words) tap to expand
Quick Answer: AI pilots often rely on small datasets, manual data transfers, and a limited number of users. Production RAG and agentic AI need fast access to current information, support for simultaneous requests, and consistent security controls. The Dell AI Data Platform addresses these needs with queries that access data where it already lives, reducing the need for permanent copies of raw data and modular components that can scale independently.A generative AI pilot may work well in a small test using a limited number of documents and users, but running it across an entire organization is a different problem. The system must search larger amounts of changing data, serve more users, and complete complex tasks while keeping sensitive information secure.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at PCMag.
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