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IBM LinuxONE architecture enables secure, low-latency RAG inference

By PulseAugur Editorial · [1 sources] ·

A new paper details an architecture for retrieval-augmented generation (RAG) that runs entirely on IBM LinuxONE systems, utilizing the Spyre accelerator for inference. This approach aims to address security and latency concerns for enterprises handling sensitive data by keeping all processing within a single hardware perimeter. The system, orchestrated by Red Hat OpenShift, reportedly achieves end-to-end RAG latencies under two seconds and offers significant performance improvements over cloud-GPU and on-premises alternatives. AI

IMPACT This architecture could enable enterprises to deploy sensitive AI workloads on-premises with improved security and reduced latency.

RANK_REASON The cluster contains a research paper detailing a new architecture and its performance benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

IBM LinuxONE architecture enables secure, low-latency RAG inference

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2 / 100
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The cluster contains a research paper detailing a new architecture and its performance benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, infra, product
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sandeep Bokkasam, Pankaj D ·

    Spyre-Accelerated Retrieval-Augmented Generation on IBM LinuxONE: A Cloud-Native Architecture for Secure, High-Throughput Enterprise AI Inference

    arXiv:2608.21393v1 Announce Type: new Abstract: Running large language models inside enterprise environments has always bumped up against a practical wall: the data lives in one place, the AI horsepower sits somewhere else, and moving sensitive records between the two creates rea…

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