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Polymorphic Inference: self-tuning inference for open models

Together AIUrgency: NotableOfficial

Why Polymorphic Inference: self-tuning inference for open models matters

Teams serving open models on Together AI may be able to get better inference performance and cost efficiency without manual tuning, though they should verify the claims against their own workloads before relying on them.

Summary

Together AI announced Polymorphic Inference, a self-tuning inference system for open models that adapts to changing models, traffic patterns, and chip types. The Together Compiler uses AI agents to keep production inference continuously optimized. The description is brief, so specific performance figures and availability details are not yet clear.

Read the full article at Together AI

CoFabrix summarises and comments on this story. The original reporting belongs to Together AI.

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