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inference-serving

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KV Cache Aware LLM Inference Router : Inferrail is a KV cache aware router and control plane for self hosted LLM inference. It sits between OpenAI compatible clients and a fleet of vLLM or SGLang engines, and sends every request to the replica that already holds most of its prompt in cache, without letting any replica overload.

  • Updated Oct 22, 2026
  • Rust

Machine-readable companion to the IEEE OJ-CS survey 'Semantic Caching and Response Reuse for Large Language Model Services: A Survey' (Chukkapalli, Mishra, Naik, 2026): 21-work evidence matrix, systematic-search log, proposed benchmark trace schema, stdlib-only contract validator, and CPU pilot. Code MIT; data CC-BY-4.0.

  • Updated Jul 11, 2026
  • Python

Hands-on handbook for delivering private LLM deployments: environment survey, VRAM estimation with worked examples, vLLM / SGLang / TGI deployment, TTFT and TPOT benchmarking, acceptance testing and troubleshooting fault trees.

  • Updated Oct 16, 2026
  • Python

Put AI compute in the 82 million houses that already have a grid connection. An exact-arithmetic feasibility study of residential AI inference as an alternative to the data center buildout.

  • Updated Aug 24, 2026
  • HTML

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