IBM LinuxONE Accelerates Secure Enterprise RAG with Spyre

Sandeep Bokkasam, Pankaj D· August 25, 2026 View original

Key takeaways

  • IBM's LinuxONE with Spyre offers a secure, high-throughput RAG architecture.
  • The system keeps all AI inference and data processing within a single hardware perimeter.
  • It achieves significant latency reductions compared to off-platform inference.
  • Confidential computing and strong auditability are key benefits for regulated industries.

Who benefits

BFSIHealthcareGovernmentManufacturingTelecommunications

Summary

IBM has developed a cloud-native RAG architecture for its LinuxONE system, utilizing the Spyre accelerator card for generative AI inference. This solution keeps sensitive data within the hardware perimeter, offering high throughput and enhanced security for enterprise AI workloads.

IBM has introduced a new architecture for Retrieval-Augmented Generation (RAG) that operates entirely within its LinuxONE and IBM Z mainframe environments. This solution addresses the common enterprise challenge of securely processing sensitive data with AI, where data movement between different systems can introduce latency, security risks, and regulatory compliance issues. The core of this architecture is the Spyre accelerator PCIe inference card, specifically designed for LinuxONE, which handles generative inference. The system also leverages the Telum II on-chip accelerator for lighter classification tasks and Red Hat OpenShift for container orchestration. Every stage of the RAG pipeline, from query intake to final response delivery, remains within the secure LinuxONE system, ensuring sensitive data never leaves the hardware perimeter. Benchmarking indicates that this integrated approach achieves end-to-end RAG latencies under two seconds, representing up to a 20x reduction compared to off-platform inference. Crucially, it maintains the robust encryption and auditability required by highly regulated industries, extending confidential computing guarantees to AI workloads through LinuxONE's Secure Execution technology.

Why it matters

For enterprises in regulated industries, this IBM solution offers a compelling path to deploy advanced AI capabilities like RAG while maintaining stringent security, data residency, and performance requirements.

How to implement this in your domain

  1. 1Evaluate IBM LinuxONE and Spyre for secure, on-premises RAG deployments, especially for sensitive data.
  2. 2Consult with IBM to understand the integration process for existing enterprise data and applications.
  3. 3Conduct a cost-benefit analysis comparing this on-premise solution with cloud-based RAG alternatives for specific use cases.
  4. 4Pilot a RAG application on LinuxONE to test performance, security, and compliance in a controlled environment.

Original post by Sandeep Bokkasam, Pankaj D

"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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