Blockspace: AI & Bitcoin
Episode: How to Build an AI Data Center from Scratch
Date: May 5, 2026
Hosts: Blockspace Media (Charlie Spears & Colin Harper)
Guest: Taylor Monic (CleanSpark)
Episode Overview
Live from Bitcoin Vegas 2026, this episode features an in-depth conversation with Taylor Monic, who oversees AI & HPC data center builds for CleanSpark. The discussion uncovers the technical, operational, and strategic differences between building for Bitcoin mining and for AI/HPC workloads. Taylor delves into the challenges and revelations of transitioning facilities, CleanSpark’s greenfielding vs. retrofitting decision-making, engineering considerations, business models, market trends, the “rat race for megawatts,” and how CleanSpark balances its future between Bitcoin, AI, and edge computing. The episode is especially rich for those interested in the convergence of Bitcoin mining infrastructure and next-gen data center operations.
Key Discussion Points & Insights
1. Building for AI/HPC vs. Bitcoin Mining
Differences in Approach, Standards, and Stakeholders
- Wild West vs. Playbook:
- Bitcoin mining has historically been a "wild, wild west" industry—miners get minimal guidance and can experiment freely (00:56).
- For AI/HPC, clients arrive with highly detailed, non-negotiable specifications (basis of design) that cover everything from network topology to humidity control and GPM water flow (01:21, 01:56, 02:38).
- Support Ecosystem:
- Major suppliers (Nvidia, Intel, Dell) offer robust support and work closely with builders—a sharp contrast to minimal help from mining manufacturers (02:42).
- Engineering Shift:
- While more complex, these projects are often easier to manage due to concrete requirements and industry standards (02:20, 03:32).
- The engineering mindset shifts from "build to survive" in BTC mining to "build to thrive" for AI—clients demand highly controlled environments (11:53, 13:49).
Notable Quote:
“Instead of building to survive, you’re building to thrive. ...The data center companies are willing to spend money on redundancy. ...So there’s redundancies and better maintenance processes that go into all these facilities that make them function at a much higher level.”
— Taylor Monic (12:45)
2. Retrofits vs. Greenfield Projects: Case Study—Sandersville (Georgia)
Strategic Decision-Making at CleanSpark
- Existing BTC operations at Sandersville offered proven, reliable power and proximity to Atlanta (“NFL cities”—prime for data centers) (05:28).
- CleanSpark considered retrofitting old mining infrastructure but instead negotiated with the city to move their power allocation to a new, greenfield site across the road (05:28–07:20).
- Existing miners will run until natural end-of-life, while equipment is repurposed or moved as AI data center construction completes (07:20–08:08).
- Old site will house expanded repair centers and storage; large, movable components maintain operational flexibility (07:28).
Notable Quote:
“Everything that we’ve put into Sandersville is something that we can take apart and move, but we’ll still have a large office presence there...and we’re actually going to repurpose some of the land into storage and a major increase on our miner repair center.”
— Taylor Monic (07:28)
3. Laying the Groundwork: Greenfielding an AI Data Center
Planning, Customer Engagement, and Execution
- Time Horizon Shift: BTC mines: planned as 5–10 year assets; AI data centers: 25–30 years (08:52).
- Fundamental steps:
- Secure long-term leases and power contracts.
- Address redundancy, networking, and security far beyond BTC mining requirements.
- Use customer-provided “basis of design” as backbone for all engineering/design (08:52–11:08).
- Plan for hot aisle/cold aisle containment, chillers, fiber entry points, and more.
- Construction Timelines:
- From scratch: up to 24 months; with customer/design in hand and flat land: 14–18 months (36:18).
Notable Quote:
"It’s a lot similar to a bitcoin mine. But to our point earlier, it’s a much more complicated bitcoin mine with a lot more redundancies, a lot more cable, a lot more fiber, a lot more of everything that we know."
— Taylor Monic (11:08)
4. Cooling and Redundancy: Chicken Coops vs. Data Centers
BTC Mining “Chicken Coops”:
- Engineered for minimal cost and maximum efficiency; air-cooled, no chillers, no humidity control—built “to keep it alive.”
AI/HPC Data Centers:
- Robust cooling: chillers, humidity control, tight temperature windows.
- High redundancy—backups for all mission-critical systems.
- Higher-quality infrastructure and longer asset life-cycles (11:53–14:54).
Notable Quote:
“From an engineering perspective, [the chicken coop] is a work of art. ...But you just get much more sophistication in the data center and it’s for good reason. ...The margins are much higher on the data center, on the end user product.”
— Taylor Monic (14:00)
5. Business Models: PowerShell/Core & Shell vs. Neo Cloud
Why CleanSpark Chose PowerShell/Core & Shell over Neo Cloud:
- CleanSpark excels at building and operating physical infrastructure—repeatable and efficient (16:32).
- Avoids the fast-depreciating rat race of expensive specialized hardware ("would you want to plow billions into old GPUs that soon could be obsolete?") (16:32–18:56).
- Anticipates more value in edge computing—smaller sites potentially growing in demand as AI spreads to the edge.
Notable Quote:
“We are very, very early in AI...there could be a massive change in AI compute over the next four to five years. ...So for us, we feel really comfortable that we can provide a really meaningful, really high quality product...”
— Taylor Monic (16:32)
6. Talent, Team-Building, and the Nature of the AI Data Center Business
- Running cloud/AI compute is fundamentally different from mining; general BTC staff can’t easily transition (20:02).
- Building a team for the Neo Cloud path requires either acquiring capable startups or luring talent from big providers—training from scratch is not realistic (20:02–21:10).
- Core & shell model allows CleanSpark to focus on infrastructure, partners focus on optimizing compute (21:26).
7. Finding Customers for AI/HPC Data Centers
Two Approaches:
- Hired veteran industry sales lead (Boyd); relies on industry contacts (23:35).
- Strong inbound demand as reputable land/power holders; public visibility fuels inquiries (23:35–24:51).
- The market is in “the first inning”—more opportunities than supply (25:21).
Notable Quote:
“We are absolutely in the first inning of this thing. ...There’s more than enough to go around for, for everybody. There’s just not enough power.”
— Taylor Monic (25:21)
8. Land and Power: The “Rat Race for Megawatts”
- Power is the primary bottleneck for HPC/AI expansion—BTC miners well-positioned due to years of acquiring large power tranches (26:34–29:37).
- CleanSpark’s strategy: transparent, community-first, “front door” approach—delivers trust and scalable relationships with cities/utilities (29:37).
Notable Quote:
“We go in the front door and say, hey, transparently, this is exactly what we want to do. ...It helps grow your brand, you know, really organically. ...hyper focus on securing as much land and power as we can.”
— Taylor Monic (29:37)
9. Risks and Industry Pitfalls
Potential Headwinds:
- Supply chain delays, construction/labor shortages, macro risks (32:48).
- A notable and rising “anti-data center” movement—misinformed community pushback, regulatory and council obstacles (32:48–36:01).
- Misinformation includes: exaggerated water use, job creation skepticism, and fear of rising local energy/power costs.
- AI leadership is essential for US economic and national security (34:58–36:01).
Notable Quote:
“There is an anti data center movement growing in this country...and a lot of it comes from misinformation...We need to fight a lot of that misinformation, provide people the truth on what’s going on.”
— Taylor Monic (32:48)
10. Bitcoin Mining’s Future at CleanSpark & Internal Structure
- CleanSpark will continue BTC mining—with significant investments in new miners and expansions (37:12).
- Leadership structure: dedicated heads for BTC and AI; teams cross-pollinate where strengths align (37:59, 38:05).
Notable Quote:
“We have no intent to stop mining. We’re still currently deployed right around 50x a hash. ...So we'll, we'll play it, you know, year by year. But right now, definition is clear. Clean Spark [is] still a mining company.”
— Taylor Monic (38:05)
11. Looking Forward: Taylor’s 2026 Focus
- Main priority: “Sign lease, build data center.” (39:13)
- Stresses the civilizational importance of AI progress and the need to provide compute infrastructure to solve big problems.
- Bitcoin operations are now robust enough to allow this strategic shift.
Memorable Moments & Notable Quotes (with Timestamps)
- “You have more networking fiber in one rack than you do in a whole entire bitcoin mine.”
— Taylor Monic (01:56)
- “The engineering perspective is instead of building to survive, you’re building to thrive.”
— Taylor Monic (12:45)
- “It is a little bit more complicated, but we’ve got the base fundamentals down.”
— Taylor Monic (16:32)
- “I think that represents anywhere, $30, $40 million [in] infrastructure. So we're putting our money where our mouth is.”
— Taylor Monic (38:05)
- “Sign lease, build data center...If we don’t build this compute, I don’t really see us…getting there otherwise.”
— Taylor Monic (39:13)
Timeline & Timestamps of Key Segments
- 00:21–04:47 — Contrasting BTC mining builds vs. AI/HPC; significance of design standards and evolving engineering practices.
- 04:47–08:08 — Sandersville case study: greenfielding over retrofitting; managing asset end-of-life and land reuse.
- 08:37–11:08 — Step-by-step: how to plan and launch a greenfield AI data center.
- 11:08–14:54 — Cooling architectures; differences in operational sophistication of BTC mines vs. AI data centers.
- 15:59–18:56 — Business model discussion: CleanSpark’s rationale for PowerShell over Neo Cloud.
- 20:02–21:10 — Challenges and strategies for staffing and expertise in AI data centers.
- 23:03–24:51 — Business development: securing AI data center tenants.
- 25:21–29:37 — The power bottleneck; CleanSpark’s “front door” approach to land and utility relationships.
- 32:48–36:01 — Adversarial risks: regulatory pushback and anti-data center sentiment.
- 36:18–36:59 — Timeline for building new data centers from scratch.
- 37:12–39:13 — CleanSpark’s bitcoin mining roadmap and internal org structure.
- 39:13–Episode End — Taylor’s personal focus for 2026 and closing thoughts.
Final Takeaways
This episode offers a ground-level, pragmatic view of how traditional Bitcoin miners like CleanSpark are leveraging their skills, asset base, and adaptability to pivot into the high-stakes arena of AI and HPC data centers. Taylor Monic’s insights highlight how the next phase of computing infrastructure is radically more structured, collaborative, and technologically sophisticated than the BTC mining “wild west,” but also comes with new challenges, especially community trust, power acquisition, and market uncertainty. CleanSpark’s cautious optimism, focus on operational excellence, and commitment to both BTC and AI signal the industry’s hybrid future—one that will require both technical rigor and strategic flexibility.