Ninja migrating to self-hosted inference backend
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Ninja (SN66) identified inconsistent LLM inference results caused by external provider changes and is migrating to self-hosted model inference on dedicated GPUs. The team spent 24+ hours investigating score variance between king and challenger agents, ruling out cache issues and settling on OpenRouter/Minimax backend drift as the root cause. They plan to run their own inference infrastructure to ensure deterministic model outputs.
- •OpenRouter LLM provider changed between May 24-25; migration to self-hosted inference on owned GPUs underway
- •Investigated duel scoring anomalies showing challenger agents with unusually low win counts despite qualitative code quality
- •Team testing local inference to verify Minimax backend stability; considering DeepSeek v4-flash as alternative model
- •Implementing API key improvements and task-variance throttling to reduce spam submissions
Distilled from 58 team messages in the official Bittensor Discord. Generated by Claude Haiku 4.5.
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