You've seen the economics. This is the architecture behind them — and why every choice here exists to protect that return.
Compute, power, cooling — each delivered as a factory-integrated module. On site you only connect power, cooling, and network. No on-site system commissioning.
The compute engine — pick a liquid-cooled path by workload, or run both on one shared 28–35 °C loop.
A grid-tied power asset — not just backup. 120 min ride-through standard, plus peak-shaving and demand response.
Free cooling whenever the climate allows, mechanical trim only when it doesn't — across all climates.
AI racks draw 80–150 kW and climb; GPU generations turn over every 1–2 years. The 12–24-month build model can't keep up. The real constraint is no longer how fast you can build — it's how fast you can energize, and how well you work with the grid.
Where you can build is decided by power. MDC is engineered to be a grid-cooperative load — so it clears interconnection faster, and earns on power others can't use.
Powered by BESS, not diesel —
Myth: diesel isn't faster — UPS bridges the gap in both cases. So BESS wins on cost, logistics, and approvals.
An AI factory runs ~10× the scale of an enterprise data center. Full 2N / Tier III doubles your infrastructure CapEx on a massive base — straight against the IRR you just modeled.
And AI training isn't a financial-transaction workload. It checkpoints, restarts, and fails over at the node level — it carries no per-second SLA penalty. Buying enterprise-grade redundancy for it is capital spent to protect against a risk that doesn't cost you.
So redundancy is matched to each component's replaceability and blast radius:
| System | Strategy | Logic |
|---|---|---|
| Busbar / copper rails | Single-path, high-integrity | Not field-replaceable — redundant paths only add connection points and failure modes. |
| Cooling pumps / CDU | 2N | Supports online maintenance — swap without stopping compute. |
| Fans / compressors | N+1 | Degrade-and-continue on failure, not an immediate stop. |
| Compute nodes | Node-level failover | Local fault containment — failures don't propagate across the cluster. |
| Control plane | Redundant | No single point of control can take down the whole system. |
MDC is a manufactured product, not a construction project: fully integrated and tested at the factory, online on arrival. The first cluster ships in ~4–6 months — and because the design is proven and the supply chain is warm, every batch after lands in 75–90 days.
Fast deployment and lean redundancy don't mean cutting corners. Every block is built from tier-one industrial hardware and certified to recognized standards.
No compromise components. Every block is assembled from proven, tier-one industrial hardware.
All components meet UL / CE / CSA and the applicable regional standards.
End-to-end system-level certification targeted for completion in 2027.
Two container profiles — chosen by the GPU you want to run and the business you're building. Frontier training on Blackwell, or a lean inference business at scale.
Maximum-density training & high-performance inference. Premium, frontier-grade compute — high CapEx, highest return per container.
Pure inference at scale. Lower entry cost, simple operations, durable continuous revenue.