Realtime voice models compounds on cost (and forgets)- "Flowcat" fixed both (4x cheaper, 7x more context)

Reddit r/AI_Agents Models

Summary

Flowcat addresses the high cost and limited context of realtime voice models, achieving 4x lower cost and 7x more context.

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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

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.