Solutions Across Entire AI Supply Chain

Estimate probability to in-service and choose sites by combining queue delays, transformer lead-times, tariffs, carbon, and on-site generation options.

Reveal tariff, PPA, and carbon-mix tradeoffs to minimize cost and emissions for AI workloads; plan procurement and demand-response strategies.

Compare liquid vs air cooling, water sourcing risks, and thermal envelopes to reduce PUE and outage risk for high-density AI racks.

Prioritize regions and capacity by aligning latency SLOs, demand forecasts, power availability, and chip supply to minimize cost of scale.

Aggregate emissions and water-use metrics across power → cooling → compute layers to quantify ESG exposure and decarbonization ROI.

Quantify supplier concentration, lead-time volatility, and rupture risk to improve service levels and schedule confidence.