InfiniBox Platforms Power AI Learning Models

AI workloads are becoming business critical and demand true enterprise-class storage solutions that drive performance, availability and cyber resilience. Today, that AI data for Retrieval-Augmented (RAG) workloads lives on Infinidat platforms.

RAG Workflow Deployment Architecture

AI hallucinations are holding back the adoption and broad deployment of GenAI within enterprises. Companies can reduce this risk by continuously refining their RAG pipelines with up-to-date company data to improve AI model-driven insights.

With Infinidat’s RAG workflow deployment architecture, enterprises can use their InfiniBox and InfiniBox SSA primary storage systems as the basis for optimizing the output of AI models without the need to purchase any specialized equipment. InfiniBox’s Neural Cache innovation makes it ideal to support AI workloads. Large, scalable vector databases are easily supported in the InfiniBox platform, providing performance, 100% availability, and cyber resilience guarantees.

 

Our Customers Get Measurable Results
Benefits of Infinidat for RAG Deployments
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Resources

Solution Brief
InfiniBox for AI Workloads
Blog
A Perfect Fit for Retrieval Augmented Generation (RAG): Making AI Models More
Accurate
White Paper
GenAI LLM Infrastructure Analysis: Infinidat Cures RAG Inferencing Response Time Troubles
Video
Demo: InfiniBox for AI RAG Workloads