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platform resilience

Inference disaster recovery moves from a failed serving stack through an approved failover gate to a ready service, validating model, context, identity, state, and capacity.

AI Inference Disaster Recovery: Designing Model Serving for Regional and Platform Failure

Published September 10, 2026 by Paul Bryant

Design AI inference recovery around the complete approved service. Include models, retrieval, authorization, application state, capacity, interrupted requests, and tested degraded modes.

Categories AI Tags Agentic AI, AI inference, DIsaster Recovery, GPU capacity, Kubernetes, model serving, multi-region architecture, platform resilience, RAG, vLLM 2 Comments

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