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Egress-First Architecture- Building AI_RAG Pipelines That Don’t Bleed Budget

Egress-First Architecture: Building AI/RAG Pipelines That Don’t Bleed Budget

The Hidden Cost in Every “Smart” AI System Retrieval-Augmented Generation (RAG) has quickly become the backbone of enterprise AI.From chatbots to knowledge assistants, every modern organization wants to feed its private data into LLMs for faster, smarter, context-aware answers. But here’s the part no one puts in the architecture diagram:Every clever query is quietly bleeding […]

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Edge + AI Done Right- Versioning and Rolling Back Models Across Regions

Edge + AI Done Right: Versioning and Rolling Back Models Across Regions

The Edge Is Fast  Until It Isn’t Deploying AI models at the edge sounds like a dream.Local inference means lightning-fast responses, offline resilience, and compliance with data residency laws. But there’s a catch: what happens when something goes wrong? When your model starts drifting, predictions degrade, or an update breaks latency SLAs, you can’t just

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