The Silicon Singularity: Why Network Physics Still Defines the Future of Decentralized AI Compute
🔑 Key Takeaways Bandwidth Remains the Core Bottleneck: For decentralized AI infrastructure, GPU supply matters less than interconnect quality. Latency and bandwidth continue to define practical scalability. Verification Is Improving, But Not Free: Recursive proof systems and hardware attestation are making decentralized compute verification more efficient, though large-scale zkML remains early. Enterprise Adoption Depends on Reliability: DePIN networks must prove uptime, scheduling efficiency, and predictable performance—not just lower prices.