In the second part of Kevin Brown’s conversation with Nazar Khan, Co-Founder and Chief Technology Officer at TeraWulf, they explore how the company has scaled its Lake Mariner campus from a two-megawatt pilot project into one of North America’s largest AI and high-performance computing developments.

Nazar explains why TeraWulf chose to invest in infrastructure before securing its first customer, beginning with a small proof of concept before progressing to increasingly larger data centre buildings. By demonstrating that it could design, construct and operate the infrastructure in practice, the company was able to build confidence among customers, lenders, technology providers and other partners.

The conversation also examines what it takes to deliver AI infrastructure at speed. From securing billions of dollars in financing and forecasting equipment requirements to coordinating utilities, suppliers, contractors, customers and local authorities, Nazar highlights the importance of collaboration across the entire ecosystem. He also reflects on Lake Mariner’s impact on the surrounding community, transforming a former coal-fired power station into a growing digital infrastructure campus supporting hundreds of permanent roles and approximately 1,600 construction workers.

Featured guest: Nazar Khan, Co-Founder and Chief Technology Officer, TeraWulf

Key quote: “The best way to convince someone that you can actually get it done is to go get it done.”

Key takeaways:

• TeraWulf began with a two-megawatt pilot project to develop the skills, designs and partnerships needed to build AI infrastructure.

• Investing in infrastructure before securing a customer helped the company demonstrate its capabilities and build market confidence.

• Access to capital is essential, as AI-ready data centres can require investment of approximately $9 million to $10 million per megawatt before IT hardware is installed.

• Delivering infrastructure quickly requires close coordination between customers, utilities, finance teams, equipment providers, contractors and local authorities.

• Flexible design decisions and a willingness to evaluate trade-offs can help projects overcome equipment availability and supply-chain constraints.

• The redevelopment of Lake Mariner shows how former industrial and power generation sites can support new employment and become part of the AI economy.

Follow or subscribe to The Machine Room on your preferred podcast platform for more conversations with the people building the power, cooling and digital infrastructure behind AI.

In the first part of this two-part conversation, host Kevin Brown sits down with Nazar Khan, Co-Founder and Chief Technology Officer at TeraWulf, to explore the company’s evolution from power generation to Bitcoin mining and, ultimately, large-scale infrastructure for AI and high-performance computing.

Nazar traces TeraWulf’s origins back to Beowulf, where its team spent more than 25 years developing, owning, and operating power generation assets. He explains how this energy expertise allowed the company to move from supplying electricity to managing flexible demand through Bitcoin mining. Rather than viewing each step as a pivot, Nazar describes the journey as a natural expansion of the same core capabilities: finding power at scale, understanding the grid, and building complex infrastructure quickly and efficiently.

The conversation also examines why access to power has become one of the defining considerations for AI data center development. From the relative challenges of moving electricity and data to the redevelopment of a former power station at TeraWulf’s Lake Mariner campus, Kevin and Nazar explore how existing energy assets can be repurposed to support the next generation of digital infrastructure.

Featured guest: Nazar Khan, Co-Founder and Chief Technology Officer, TeraWulf

Key quote: “Generally, I would argue that it’s a lot easier to move data than it is power.”

Key takeaways:

• TeraWulf’s foundations lie in more than 25 years of power generation, infrastructure development, and plant operations.

• Bitcoin mining provided a flexible source of electricity demand that could respond quickly to changing grid conditions and power prices.

• TeraWulf views its move into AI and high-performance computing as an evolution of its energy infrastructure expertise, rather than a complete change in direction.

• Power availability, scale, and speed to energisation are becoming critical factors in the development of AI data centers.

• Although network connectivity remains essential, data can often be transported more easily than large quantities of electricity.

• The Lake Mariner campus demonstrates how former power generation sites and existing high-voltage infrastructure can be repurposed for digital infrastructure.

Follow or subscribe to The Machine Room on your preferred podcast platform so you do not miss Part 2 of Kevin and Nazar’s conversation, or future episodes exploring the people, technologies, and infrastructure behind AI.

In this trailer episode, Kevin Brown, Senior Vice President and Chief Marketing Officer for Schneider Electric’s Data Center Business, introduces The Machine Room, a new podcast exploring the people, technologies and companies building the physical infrastructurebehind AI. ​

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Drawing on more than 30 years of industry experience, Kevin explains how the series will go beyond the headlines to examine the realities of powering, cooling and operating data centres, with guests from AIoperators, energy businesses, industry organisations and global technology providers sharing the opportunities and challenges shaping the digital future.​

Key Quote

“We’re getting behind the noise to hear the stories of the people building big tech and shaping its future.”

Key Takeaways

• AI depends on physical infrastructure, particularly reliable power and advanced cooling.
• The Machine Room will take listeners behind the headlines and into the realities of building AI infrastructure.
• The series will bring together perspectives from data centre operators, energy companies, industry associations, and technology providers.
• Conversations will explore both the opportunities and the difficult challenges facing the sector.
• Topics will include energy, efficiency, cooling, resilience, and water consumption.
• Listeners will hear directly from the people and organisations shaping the future of data centres and AI.

Follow and subscribe to The Machine Room on your preferred podcast platform to hear new conversations from the people building the infrastructure behind AI.