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How Fast Can a 421M-Parameter Decision Model Run? I Benchmarked Laya Across NVIDIA GPUs

One H100 NVL. A 421M-parameter decision model. 15.1 million decisions per day while staying inside a p99 ≤ 130 ms latency budget. That number sounds impressive—but raw throughput is the easy number to publish. The useful question is harder: How many typed decisions can one GPU sustain when tail latency, correctness, and cost all matter? I built an independent, fully reproducible benchmark to…

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Neuro-Symbolic Conversational Vehicle Advisor: Deterministic Constraint Solving, State Integrity, and Multi-Stage Recommendation

Abstract Most conversational AI implementations in industry rely on naive Retrieval-Augmented Generation (RAG) or unconstrained agentic loops.

  • Vehicle Advisor is a production conversational platform for automotive discovery and advice
  • Neuro-symbolic pipeline separates LLM from critical business logic to enforce constraints
  • Strongly typed BuyerProfile aggregate maintains authoritative user state throughout conversations

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