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# What does 99.9% uptime mean for inference?

**[Together AI](https://daily.dev/sources/togetherai)** · 7 min read · 0 upvotes · 0 comments

## Summary

A breakdown of what 99%, 99.9%, and 99.99% uptime actually mean for AI inference providers, mapping each reliability tier to the specific failure domains it must survive. 99% covers node-level failures (GPU faults, driver crashes), 99.9% requires surviving a full data center outage with live multi-DC traffic routing, and 99.99% demands multi-region deployment with reserved failover capacity. The post details real failure modes across compute, network, storage, and software layers, explains why infrastructure ownership matters when things break at 3 a.m., and provides a list of pointed questions to ask any inference provider about their architecture, failover testing, and SLA measurement methodology.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.together.ai/blog/99-9-uptime-for-inference>

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