IBM Storage Scale Content-Aware Features

Content-aware AI innovations in IBM Storage Scale ensure reliable, real-time data processing for enterprise AI applications

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The purpose of content-aware storage (CAS) is to increase the value of clients’ AI applications through accelerated insights

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The RAG process is further strengthened by Storage Scale’s new content-aware storage features

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IBM integrated NeMo Retriever into the latest NVIDIA Blueprint, AI-Q, which extracts data from text, graphs, charts, and images

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Storage Scale additionally offers cutting-edge global data abstraction services designed to offer connection from numerous data sources and locations

CAS monitors folders for changes and updates the RAG database as data changes

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Take full advantage of IBM Storage Scale’s Hadoop connector, which supports Apache Spark and Cloudera Analytics

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