Our Vision: Intelligent Infrastructure for an AI-Powered Future
To unify sustainable energy and compute infrastructure, enabling AI to reach its fullest potential.
Creekstone Energy was founded to remove the fundamental limitations on AI growth by solving the energy and scalability challenges. We fuse a Silicon Valley startup vision with enterprise-grade execution, aiming to be the foundational layer for the AI era—where power is plentiful, latency is minimal, and compute can scale without compromise.
Why AI Needs a New Kind of Infrastructure
AI adoption is exploding, but legacy hyperscale data centers, built for generic cloud and IT workloads, are ill-equipped to handle the sheer power density and the dynamic power and thermal demands of massive AI training clusters. Traditional facilities typically average 5–10 kW per rack with steady loads. In stark contrast, AI superclusters demand tens of kilowatts per rack and can exhibit rapid, significant swings in power consumption.
The interconnect bandwidth between thousands of GPUs is paramount; these AI "factories" bear more resemblance to high-performance supercomputers than conventional cloud server farms. This surge in AI workloads is colliding with global power constraints. Many regions lack the readily available hundreds of megawatts required for new, large-scale AI data centers.
Marc Ganzi, CEO of DigitalBridge, highlighted a critical question: "Can we develop renewable power sources close to our infrastructure to handle growing AI workloads?"
Creekstone's vision directly answers this challenge: locate compute infrastructure directly at a massive, reliable energy source. By co-locating power generation with the data center, Creekstone ensures that AI models have the critical "fuel" they need, precisely when they need it. This establishes a new category of industrial AI base-layer infrastructure—one that others simply cannot replicate.
A New Category: The AI Base-Layer
Creekstone's campus is an "AI factory" – a hub for large-scale AI training.
At Creekstone, energy infrastructure and compute infrastructure are unified by design. On-site natural gas turbines and future solar farms will feed directly into the data halls, backed by robust grid connections (via IPP) and planned energy storage solutions. This ensures reliable, ultra-low-latency power delivery.
Because our campus controls the power supply end-to-end, it can dynamically match the real-time variability of AI workloads – ramping power when training peaks and throttling down during idle periods, far more efficiently than a remote utility could. This is a key innovation: instead of the data center being a passive energy consumer, it's an active, integrated part of a dynamic energy system.
This approach enables massive, scalable, low-latency compute concentration. Creekstone's planned campus can concentrate over 1 GW of computing power in one location, allowing AI models to be trained with minimal inter-node latency and unmatched speed. Industry analysts forecast a need for at least 60 GW of new data center capacity in the next 5 years, largely driven by AI, even as 80 GW of aging power plants retire – a gap Creekstone directly addresses by bringing new, dedicated energy online with its compute.
At the Crossroads of Power and Innovation
The unique trifecta of energy advantages at our south-central Utah location, near Delta.
Natural Gas On-Site
Our campus sits atop or adjacent to significant natural gas resources, with pipeline and storage access, providing immediate dispatchable power for high-density compute. This translates to lower energy costs and rapid ramp-up capabilities.
30,000 Acres of Solar Potential
The region offers tens of thousands of acres of flat, sun-rich land, much already under development agreements, to generate gigawatts of clean solar power. This directly feeds the data center, slashing carbon footprint.
Intermountain Power Proximity
Adjacent to the Intermountain Power Project (IPP), a 4,600-acre energy complex with heavy-duty transmission lines (including a 2,400 MW HVDC line to California) and a forthcoming hydrogen-enabled plant. This ensures access to grid infrastructure, cooling water, and fiber.
Our site is at the heart of the Western Interconnection's energy network, near a planned 2+ GW solar generation park, a 1.9 GW power station and our own 2 GW natural gas plant. No other AI data center campus has a path to over 5 GW in less than 4 years – it's a foundational moat for Creekstone. AI is a scale game. Whoever has the most power in a single location will have the the smartest AI. The winner of the AI race will be found on the Creekstone campus in Utah.
Green Power, Always On
Creekstone's integrated energy approach means AI workloads get 24/7 power resilience with a path to net-zero emissions.
By leveraging renewables like solar and future hydrogen capabilities alongside efficient natural gas, Creekstone is committed to delivering carbon-aware AI computing. Our system can flex between energy sources to optimize for both cost and carbon footprint. For instance, daytime training jobs can run predominantly on solar power.
Moreover, on-site generation eliminates grid bottlenecks and transmission delays. This means clients receive ultra-reliable power, essential for mission-critical AI applications, with minimal risk of outages. We are engineering a future where scalability doesn't compromise sustainability or uptime.
A Message From Our Founder
“We're building a future where intelligence is manufactured with unprecedented speed and scale – by reinventing the industrial base that powers it. Creekstone is where a power plant and a supercomputer become one, forging the foundation for the AI age.”
- Ray Conley, Founder & CEO