Radiant Ridge Energy Enters Alberta Market with Firm Contracted Power Solution for AI and Data Center Infrastructure

Radiant Ridge Energy (RRE) today announced its entry into the Alberta energy market. Moreover, the company delivers a solution to one of the most critical challenges facing AI and data center operators: access to firm, contracted, reliable power. Importantly, this power can be deployed at the speed the digital economy demands.

Alberta Headquarters And Expansion

The company is establishing its North American headquarters in Calgary. Additionally, it plans to begin operations with its first natural gas plant in 2026. This marks the foundation of an ambitious expansion strategy targeting 450MW+ of operational capacity across Alberta by 2031.

Furthermore, the explosive growth of AI infrastructure has revealed a critical gap in North America’s energy landscape. This gap threatens to constrain the entire AI revolution. Recent research from Goldman Sachs’ 2025 report, “Powering the AI Era,” shows that by 2030, global data center power demand is projected to surge 160%. However, aging electrical grids cannot adapt quickly enough to meet this demand.

“Goldman’s research confirms what we hear from every AI company and data center operator,” said Kevin Capozzi, VP Operations at RRE. “Power is the most urgent bottleneck in AI infrastructure. A 250MW AI data center costs about $12 billion to build, but that investment is worthless without firm, reliable power to run it.”

Consequently, this challenge has created what analysts call AI’s “Rust Belt” revolution. It reflects a fundamental shift in how and where compute infrastructure gets built, driven entirely by access to firm power.

AI Infrastructure Power Crisis

The firm power crisis facing AI infrastructure has three critical dimensions. Firstly, renewable intermittency: wind and solar provide cost-effective generation but cannot guarantee firm capacity. Goldman Sachs projects that new data center power demand will require 30% natural gas combined cycle, 30% natural gas Peaker plants, 27.5% solar, and 12.5% wind. Clearly, renewables alone cannot meet firm power demands.

Secondly, grid constraints and aging infrastructure: the US electrical grid averages 40 years old. It was never designed for AI-scale power density. By 2027, AI server rack power density will be 50 times that of cloud servers from just five years ago. Traditional utility connections take 5–7 years for approval and construction—which is unacceptable when hyperscale companies like Amazon and Google are investing $1 trillion in AI infrastructure by 2027.

Thirdly, reliability requirements: AI training runs cannot pause when the wind stops blowing. Data centers cannot go dark when clouds cover solar panels. These operations require firm, contracted power with absolute reliability. Goldman’s research shows global data center vacancy rates at just 3%, near 0% in hot markets. Therefore, no significant new power capacity is expected before 2028, creating a severe supply-demand imbalance.

“A single power interruption can cost millions in lost compute time,” Capozzi explained. “One ChatGPT query consumes roughly ten times the electricity of a Google search. Thus, massive GPU clusters for AI training require firm power with guaranteed availability—not estimates, not best-effort, not weather-dependent generation.”

Hybrid Power Solutions Offered

RRE solves the firm power problem through intelligent hybrid integration. This system delivers contracted, reliable capacity at compute-grade standards. It combines wind, solar, and natural gas, providing the precise energy mix Goldman Sachs identifies as necessary for AI infrastructure.

“Our approach addresses short-term power contradictions Goldman describes,” Capozzi explained. “Natural gas plants take 5–7 years to build. Renewable energy supply is intermittent. Nuclear is a long-term solution. Therefore, our hybrid-by-design model integrates wind, solar, and gas to guarantee firm power delivery today, not five years from now.”

RRE’s hybrid architecture provides three critical advantages:

• Guaranteed Firm Capacity: Unlike pure renewable projects, RRE delivers contracted firm power backed by dispatchable natural gas. Wind and solar provide cost-effective baseload generation, while natural gas ensures firm capacity during high-demand periods. As a result, customers signing a power purchase agreement receive guaranteed capacity when they need it, not just when weather cooperates.
• Rapid Deployment: RRE uses standardized 10MW modular facilities that scale to 100MW+ clusters. Consequently, this accelerates deployment timelines to 12–18 months, far faster than the 5–7 years traditional utility connections require. With Goldman projecting a 10.4GW US data center demand-supply gap by 2030, speed is essential.
• Behind-the-Meter Flexibility: RRE supports both grid-connected and behind-the-meter deployments. Thus, this bypasses grid bottlenecks, giving AI operators the flexibility to secure firm power despite grid constraints.

“We’re not promising theoretical capacity or best-effort generation,” said Capozzi. “We deliver firm, contracted, reliable power with operational guarantees. In this way, we differentiate from renewable projects and provide compute-grade solutions that truly support AI infrastructure.”

Alberta AI Power Roadmap

RRE’s Alberta roadmap addresses the immediate supply-demand gap:

• 2025-2026: Establishment and first 10MW natural gas plant; submission of 50MW gas + 50MW hybrid project
• 2026-2027: Ten small power plants under long-term contracts with data center customers
• 2028-2029: First full hybrid station operational at scale
• 2030-2031: Multiple hybrid stations providing contracted firm power across Alberta, positioning for U.S. expansion

“Every megawatt we build is firm capacity under contract,” Capozzi noted. “Therefore, we deliver reliable power with deployment timelines matching AI investment urgency.”

AI Compute Infrastructure Focus

RRE focuses exclusively on firm, contracted power for compute infrastructure—the bottleneck Goldman Sachs identifies.

• AI Training Facilities: GPU clusters running multi-week operations require uninterrupted power. By 2027, AI server rack density will be 50 times traditional cloud servers, meaning contracted, reliable power is essential.
• Data Centers: Hyperscale cloud providers and colocation facilities need firm power with guaranteed availability. Moreover, RRE’s model scales alongside IT infrastructure without waiting for grid upgrades.

“Compute infrastructure is the defining infrastructure challenge of our time,” Capozzi emphasized. “Unlike previous revolutions, AI can’t wait decades. Consequently, customers need firm, contracted power now. That’s what we deliver.”

Alberta Advantage And Resources

Alberta’s resources make it ideal for solving North America’s AI power crisis.

“Alberta has world-class wind and solar, established gas infrastructure, and transmission capability for hybrid integration,” Capozzi explained. “With a projected 10.4GW US demand-supply gap by 2030, this means Alberta’s energy sector allows faster, reliable power deployment.”

The province’s tech sector, location, and business-friendly regulations make it a hub for AI infrastructure, offering an alternative to power-constrained US markets. Furthermore, RRE provides multiple collaboration pathways, aligned with Goldman Sachs’ financing insights:

• Power Purchase Agreements: Long-term contracts with fixed pricing and reliable delivery
• Joint Development: Co-develop hybrid projects leveraging land or grid access
• Strategic Investment: Equity partnerships to access firm power capacity and project economics
• Supply Chain Partnerships: Standardized procurement for rapid, reliable deployment

“Digital infrastructure will need $2 trillion globally by 2030,” Capozzi said. “We deliver firm, contracted, reliable power that makes those investments productive. Hence, that is our competitive advantage.”

While new to Alberta, RRE brings proven experience in mission-critical systems, including national power modernization in Seychelles, demonstrating capability to deliver reliable power at scale.

Operational Excellence Delivered

“We understand reliable power,” Capozzi said. “Now we bring that operational excellence to Alberta’s computer sector with firm, contracted capacity. Therefore, this solves the most urgent AI bottleneck today.”

About Radiant Ridge Energy

Radiant Ridge Energy is a North American energy infrastructure company specializing in hybrid power systems. Additionally, RRE delivers firm, contracted, reliable power for AI facilities and data centers. Headquartered in Calgary, Alberta, RRE builds compute-grade energy infrastructure through intelligent integration of wind, solar, and natural gas generation, guaranteeing firm capacity and operational reliability.

Company Details

Organization: Radiant Ridge Energy

Contact Person: Kevin Capozzi

Website: http://www.rreab.com

Email: kc@rreab.com

City: Calgary

State: Alberta

Country: Canada

Release Id: 17102535596