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Together AI
Together AI logoTogether AI · Feature trail

Inference Reliability and Uptime

1 post · Jul 2026

What this trail covers

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. This post specifically details the engineering behind achieving 99.9% uptime by surviving full data center failures through multi-facility deployment and continuous live traffic routing, and outlines the questions customers should ask providers regarding infrastructure ownership, full-stack expertise, capacity, and SLA measurement.

All Together AI trails
  1. What does 99.9% uptime mean for inference?This post elaborates on the engineering requirements for achieving 99.9% uptime for inference services, specifically detailing the architectural decisions and infrastructure ownership necessary to survive a full data center failure. It contrasts continuous live traffic routing to multiple facilities with cold standby approaches, highlighting the importance of owning the entire stack (chip-to-token) for effective failure domain management. The post also provides a framework of questions for evaluating provider reliability claims, focusing on infrastructure ownership, full-stack expertise, capacity, and SLA measurement, and defines Together AI's own SLA tiers and measurement methodologies.