Model Releases

New on Dedicated Model Inference: canary rollouts. Upgrade the model behind a live endpoint without downtime. Traffic moves from your curren…

New on Dedicated Model Inference: canary rollouts. Upgrade the model behind a live endpoint without downtime. Traffic moves from your current deployment to the new checkpoint in gated steps (default 5

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New on Dedicated Model Inference: canary rollouts. Upgrade the model behind a live endpoint without downtime. Traffic moves from your current deployment to the new checkpoint in gated steps (default 5% → 25% → 50% → 100%). Health checks run before any traffic shifts. After every step, metric gates compare the new model's p95 latency and error rate against the old one. If a gate trips, the rollout pauses at the canary share and waits for you: resume, promote to 100%, or roll back. Three strategies: canary, blue-green, and rolling. Available now via the tg CLI, REST API, and Python SDK. Learn how to start a rollout: https://www.together.ai/blog/canary-rollouts-upgrade-models-in-production-without-downtime

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Source: Together AI (X) | 2026-09-22

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