Together AI inference platform, fine-tuning, and API services for open-source models.
[ STATUS AT A GLANCE ]
Current status of individual Together AI services
When Together AI has issues, Bifrost automatically routes your requests to a healthy alternative provider. Zero code changes. 99.999% effective uptime.
What Together AI does, where the data on this page comes from, and recent reliability
[ ABOUT TOGETHER AI ]
Together AI provides Together Inference, Serverless endpoints, Fine-tuning workflows, and Model APIs. Together AI status matters for teams serving open models in production, especially when inference reliability and provider redundancy are core parts of the deployment strategy.
This page pulls data from Together AI's official status page to show current service health, any active incidents, and a history of recent issues — all in one view.
[ DATA SOURCES ]
Together AI publishes per-component availability history and status reports. Incident detail may be lighter than providers using Statuspage.
[ RELIABILITY ]
[ COMMON USE CASES ]
Together AI status matters for teams serving open models in production, especially when inference reliability and provider redundancy are core parts of the deployment strategy.
Active incidents, scheduled maintenance, and incident history for Together AI
Incident history not available
Together AI does not publish incident logs through their public status API.
Check their official status page →Check the status indicator at the top of this page — it pulls directly from Together AI's official status page. If Together AI is experiencing any issues, you'll see it reflected here.
This page tracks Together Inference, Serverless endpoints, Fine-tuning workflows, and Model APIs using data from Together AI's official status page. You can see current component health, active incidents, and a history of past issues.
We check Together AI's status page every 60 seconds. How quickly issues show up here depends on how fast Together AI updates their own official status.
Together AI status matters for teams serving open models in production, especially when inference reliability and provider redundancy are core parts of the deployment strategy.
The most common approach is to set up automatic failover to an alternative provider. Bifrost is an open-source AI gateway that can route requests away from Together AI when it's experiencing issues, keeping your application running even when a single provider has problems.