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The common implementation of AI pipelines today is to bring data to the AI application. This works well when your dataset is relatively small and co-located but challenges arise in data scaling capacity, operations, and fidelity. The effective way to address this challenge is to push AI processing closer to where the data is. This concept is "AI Content-Aware Storage (CAS)." The vision of content-aware storage is to enable intelligent storage to process data for AI applications. It can also orchestrate, and catalog information based on regular and custom metadata fields. Content Aware Storage can leverage NVIDIA Blueprints and NIMs to accelerate the retrieval-augmented generation (RAG) pipeline by incorporating storage and storage metadata in the Continuous Data Ingest and vector DB management. Join the Advanced Technology Group and Expert Chris Maestas for an exciting session on April 29th!
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Modified date:
29 April 2025
UID
ibm17229016