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OpenTela: Unifying Decentralized Computing Resources for Heterogeneous LLM Serving (Oper…

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A user-space overlay implements CRDT-based gossip and NAT-punching/relay transport to federate Slurm, Kubernetes and bare-metal serving engines without root or cluster changes. The system provides a persistent endpoint, heterogeneity-aware scheduling, and requirement-aware routing; it runs for 22 months, 13M requests, 15B tokens, 142 models across ~200 GPUs and reports zero user-facing API errors during volatility experiments. Operators release code and anonymized traces for reproducible sovereign LLM serving.

AI-written summary · about

  1. 0:00Sovereign AI and OpenTela
  2. 1:45Fragmented AI inference challenges
  3. 3:51Decentralized GPU availability
  4. 5:58Requirements for unified compute
  5. 8:06Limitations of single serving engines
  6. 9:30OpenTela model serving access
  7. 10:56OpenTela architecture overview
  8. 13:27OpenTela production stats
  9. 14:53Elasticity and fault tolerance
  10. 15:58Decentralized system lessons
  11. 18:07OpenTela summary and future
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