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6 lines
645 B
TeX
6 lines
645 B
TeX
\section{Conclusion}
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The Zoo EVM demonstrates that a conservation-focused L2 can achieve throughput competitive with purpose-built high-performance chains while maintaining full EVM compatibility. GPU-accelerated execution enables 47.6 million TPS in raw throughput and 4.76 million TPS with Quasar finality, processing AI workloads (species classification, encrypted inference, gradient aggregation) that would be infeasible on sequential EVMs. The PoAI consensus overlay adds only 3--9\% overhead while providing AI compute verification. These results establish Zoo Network as a viable substrate for decentralized conservation AI at scale.
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