233 GW.
That's the size of ERCOT's interconnection queue today.
Nearly 3× the entire Texas grid at peak.
70%+ is AI data centers.
This number is the reason every US grid operator is quietly rewriting the rules — at the same time.
Here's what nobody's covering.
https://t.co/xEu551tlBF
The most powerful footprint period!
22.4 MW per acre vs. typical hyperscale at roughly 0.4–0.5 MW per acre when you include site, setbacks, substation, water plant, parking, security One standard Atom = 0.53 acres / 23,250 sq ft for 8.8 MW IT load A 100 MW hyperscale typically wants 150–250 acres. Intelliflex delivers the same IT load on ~5.7 acres. https://t.co/L0eHsXGdbg
This isn't a question of, "can they compete?", can they define a market segment and execute on it. That is the question. Shareholders tell the "Bitcoin Miners-Let's do what Sullivan did at Core" but don't understand that was first mover advantage. The market is giant x1000000 and the winners of this race have not even begun - that is the difference between competing and winning.
Imagine if all the data from cycling had its own AI and help manage your long term health.
Imagine if it had its own DataCenter … and you own the data not the healthcare industry.
What if?
AI moves too fast for “build big, fill slow.”
The winners will deploy small, high-density capacity exactly where it’s needed — faster than anyone else.
#AI#DataCenters#SmartInfrastructure
The Next Data Center Race -Will Be Won by Density and Speed
The next data center race isn’t about who builds the biggest. It’s about who delivers the most compute per square foot — faster.
#AI#DataCenters#HighDensity
The Execution Advantage
Our model:
Aligns land, power, cooling, compute
Runs all work streams in parallel
Delivers capacity 65% faster — often in 6 to12 months
#Infrastructure#AI#Delivery
Smart Infrastructure is the Future of Enterprise
In 2019, while building infrastructure at Bitcoin scale—hundreds of megawatts delivered in months, not years—I realized something: data centers would have to drastically change their way of thinking to keep up with new technologies.
At that time, AI was still mostly confined to research labs, niche enterprise projects, and early deep learning models. It was powerful, but it hadn’t yet put real stress on global infrastructure.
That changed on November 30, 2022.
#SmartInfrastructure
#FutureOfEnterprise
#ChadEverettHarris
#DataCenterLeadership
Smart Infrastructure is the future of enterprise.
I saw the need in 2019 while building Bitcoin infrastructure.
The AI wave made it urgent in 2023. We’re delivering it today.
— Chad Everett Harris
Why This Matters Right Now
AI isn’t slowing down. Every month spent in a hyperscalers queue or waiting on construction is market share lost.
Smart Infrastructure gives enterprises the speed, sovereignty, and scalability they need to run AI at full capacity—without compromising on compliance or cost control.
Together, we build it faster and stronger than anyone else in the market.