Decentralizing computation [making it mostly on-premises again] could potentially mitigate some of the problems the article points out, in several ways: *Local

Decentralizing computation [making it mostly on-premises again] could potentially mitigate some of the problems the article points out, in several ways: *Localizing Power Usage*: By moving some computational tasks to local systems (on-premises), you could reduce the reliance on large, centralized data centers, which are often constrained by power and cooling limitations. This would also reduce the need for extensive retrofitting of data centers to support higher power densities. *Efficiency Gains*: Decentralized computation, especially for non-essential services, could be more energy-efficient on a per-unit basis. Local infrastructure might allow for better optimization of energy use. Smaller, distributed systems could have specialized power and cooling needs that are more manageable and tailored to the task at hand. *Reduced Data Transmission and Latency*: With computing spread out across local or edge-based facilities, energy costs could be further reduced by minimizing the need for long-distance data transmission, which itself requires significant energy, especially with AI workloads.