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Why real-time AI models cost up to 56× more than they should to serve, and how to fix it

Reddit r/ArtificialInteligence ↗ · 2026-10-02

dotwave.ai shares technical write-ups showing their inference engine can serve 56 concurrent real-time sessions on a single H100 (vs 1 for NVIDIA's reference stack) by keeping the model resident on the GPU and batching all sessions per tick, cutting per-conversation GPU cost by ~98% with zero missed 160ms audio deadlines.

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#continuous-inference

Foundations of MT-PDCL: Measure-Theoretic Probabilistic Definite Clause Logic

arXiv cs.AI ↗ · 2026-08-14 Cached

This paper introduces MT-PDCL, a measure-theoretic probabilistic definite clause logic framework that generalizes probabilistic logic programming to continuous domains by using Lebesgue integration over standard Borel σ-algebras instead of discrete grounding. It replaces combinatorial grounding bottlenecks with exact algebraic and differentiable inference while preserving declarative definite clause syntax.

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