Your AI Training Cluster Thirsty? Let's Talk Water.
We ran the numbers: A 10k H100 cluster can consume 2 million gallons of water a month. Here is the math and the engineering fix.
Big difference for energy infrastructure investing.
By the time TechCrunch reports a regulatory change, the market has already priced it in. By the time the WSJ writes about grid capacity issues, smart money has already repositioned.
We built an intelligence agent that pulls from prediction markets instead.
A prediction market isn't one analyst's opinion. It's hundreds or thousands of traders putting money on their beliefs. Wrong beliefs get punished. Right beliefs get rewarded.
Insiders, analysts, and experts trade on prediction markets. When they start moving on a position, it often precedes public news by weeks.
News says "Ohio might block datacenter permits." A prediction market says "65% chance Ohio blocks new datacenter permit by Q2 2025." The second is actionable.
News is published once. Prediction markets update every second as new information arrives. You get real-time probability adjustments.
In late 2024, Polymarket showed rising odds of Ohio regulatory action against datacenters weeks before the Public Utilities Commission announced their decision. Traders who were watching the market could reposition before the headline hit.
By the time news outlets reported "Ohio Rules Against Tech Companies on Grid Costs," the information was already priced in.
Our prediction market intelligence agent:
We're not replacing news. We're adding a probability layer on top.
For anyone making energy infrastructure bets: if you're only reading news, you're already behind.
GreenCIO's Intelligence Feed includes real-time prediction market signals alongside traditional news. Request a demo to see it in action.
We ran the numbers: A 10k H100 cluster can consume 2 million gallons of water a month. Here is the math and the engineering fix.
Traditional SaaS is too slow for energy markets. We pivoted to 'Autonomous Organization as a Service'—software that works while you sleep.
Giving an agent 30 tools costs $0.45 per run. We implemented a 'Code-First Skills' pattern to drop that to $0.003.
Grid interconnection is the #1 bottleneck for AI. Google X's Tapestry project is trying to virtualize the grid to fix it.
News tells you what happened yesterday. Markets tell you what will happen tomorrow. We built an agent to trade on the difference.
Starting August 2025, mandatory environmental reporting kicks in for AI models. Most CTOs are completely unprepared.
We forced our AI agents to fight. The 'Bull' vs. The 'Bear'. The result was better decisions than any single model could produce.
Installed capacity is a vanity metric. LCOE is the only number that levels the playing field between solar, gas, and nuclear.
Grid carbon intensity varies by 3x throughout the day. We built a scheduler that pauses AI training when the grid is dirty.
We didn't want to pay for a Bloomberg terminal, so we wrote a 950-line TypeScript scraper that builds our own intelligence feed.