papers/hanzo-gpu-inference/sections/99-conclusion.tex

\section{Conclusion}

\label{sec:conclusion}
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We have described the GPU inference architecture of Hanzo Cloud, achieving
3.2$\times$ throughput improvement and p99 latency under 180ms through adaptive
continuous batching, multi-model GPU sharing, and GPU-aware cluster scheduling.
The system serves 47M+ monthly inference requests across 192 GPUs with 94\%
average utilization. All optimizations are deployed in production and integrated
with the Hanzo ACI compute market, where GPU operators earn HANZO tokens for
verified inference work.

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