AI/ML●●●Banger
Core Rth. A governed AI kernel for engineers who don't trust their LLMs
Proposal-first governance + hardware E-stop for AI controlling robots/drones—legitimately novel safety architecture.
Big BrainBold Bet
christianrth
113mo ago
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GitHub Repository
3 starsPython
YieldOS-Lite – A simulator for LLM inference control-plane governance
by loaderchips·May 25, 2026·2 points·0 comments
AI Analysis
●●SolidBig BrainNiche Gem
Simulates governance policies without CUDA kernels or real vLLM schedulers.
Strengths
- •Trace-driven experiments with replay traces let you reproduce results offline.
- •Models KV-cache value and shape forecasts instead of just queue depth.
- •Paper and code live together so claims map directly to implementation.
Weaknesses
- •Zero stars and forks suggest no community validation yet.
- •Not a production engine, so real-world latency gains remain theoretical.
Category
Target Audience
ML infrastructure researchers and LLM serving engineers
Similar To
vLLM · TGI · Ray Serve
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