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GenAI Infrastructure from RAGs to Riches: Why the Network Is the Next Bottleneck

ID: 3a5cc386-e7cf-519f-8799-e7e07726a49b

STIX ID: report--3a5cc386-e7cf-519f-8799-e7e07726a49b

Feed Name: Aryaka

Date Published: 2025-08-07

Date Updated: 2026-04-27

Author: Ken Rutsky

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The document argues that the rapid adoption of GenAI and RAG is outpacing legacy infrastructure, creating latency, security, and observability challenges across distributed inference chains. Citing a Futuriom report, it highlights needs for standardized, unified, cloud-native networking and security with end-to-end visibility, framing RAG-as-a-Service as an emerging model. It contends that a managed, single-vendor SASE platform can deliver deterministic performance, identity-bound security, and comprehensive observability, and positions Aryaka’s Unified SASE as a purpose-built solution for production-grade GenAI.

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