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Inference Reliability and Uptime

Inference Reliability and Uptime

1
posts
2026

Together AI now offers a detailed breakdown of its inference reliability tiers, explaining the architectural requirements for achieving 99%, 99.9%, and 99.99% uptime. The company emphasizes its ownership of the full stack, from chip to token, and its commitment to transparently defining what each SLA tier covers, including infrastructure ownership, failover testing, and measurement at inference completion. This ensures customers understand the concrete engineering behind their uptime guarantees.

2026

What does 99.9% uptime mean for inference?

7/16/2026

This post defines the engineering requirements and architectural considerations for achieving different levels of inference uptime (99%, 99.9%, 99.99%). It details failure domains at node, data center, and regional levels, and explains the corresponding engineering solutions such as automated health checking, multi-facility deployment with live traffic routing, and multi-region deployment with reserved capacity. The post also highlights the importance of infrastructure ownership and full-stack visibility for reliable inference, and outlines key questions customers should ask providers about their SLA definitions and architecture.