A proposal to convert and operate Suite L120 as a secure mini data center / server room supporting AdPrompt.Ai and the compute requirements of AdChain and AdToken — structured as a revenue-share partnership, with a flexible layout that can also host presentations and events plus future managed compute for local businesses.
The core idea is simple: convert Suite L120 into a secured technology infrastructure room that puts underused space to productive use, supports the compute requirements of AdChain and AdToken, and generates upside when excess capacity is sold to third parties. AdPrompt.Ai, AdChain, and AdToken become the anchor use cases — the landlord funds and owns the build-out, AdPrompt brings the expertise to design, build, operate, maintain, and grow it, and the landlord earns the upside revenue share the room produces.
Underused square footage becomes an active, revenue-generating asset — producing returns instead of sitting vacant or cycling through retail and office tenants.
As the funding partner, the landlord earns the majority share of the compute revenue the room generates, with income that grows as utilization and capacity scale.
The landlord funds and owns durable equipment plus power, cooling, security, and monitoring upgrades that stay with the property and raise its long-term value.
The operation is infrastructure-focused, with dedicated equipment and no public walk-in traffic.
AdChain and AdToken require compute for verification, indexing, monitoring, storage, and network services before any outside customers are added.
Over time, unused GPU and CPU capacity could be packaged as managed compute for local businesses.
Suite L120’s separation, lower visibility, enclosed layout, and limited foot traffic make it a strong candidate for a controlled server-room environment, with a flexible middle zone that can also function as a presentation or event area.
These renderings illustrate the design direction: warm reclaimed wood and exposed brick paired with secured, green-lit server walls, a comfortable lounge, a presentation space, and a refreshment bar — a controlled infrastructure room that still reads as a modern AI environment.
These are planning assumptions, not final financial commitments. Phase 1 is intentionally framed as a minimum viable validation deployment for AdPrompt.Ai, AdChain, and AdToken before committing to a larger installation.
This keeps Phase 1 deliberately lean: one starter rack, staged equipment purchases, essential power / cooling / security work, and no large-scale GPU expansion until anchor workloads and outside demand justify it.
| Category | Estimated cost | What it supports |
|---|---|---|
| Starter GPU / AI compute | $25K–$60K | Minimum useful AI inference, automation, and creative generation — early AdPrompt.Ai capacity without a full GPU fleet up front. |
| CPU / storage / networking | $15K–$45K | AdChain and AdToken verification, indexing, storage, monitoring, and supporting network services. |
| Power, cooling, racks & cabling | $15K–$50K | Rack build-out, power distribution, cooling, and structured cabling for a safe pilot deployment. |
| Security, monitoring, fire / code review, contingency | $10K–$20K | Basic resilience, safety, monitoring, access control, code items, and a lean contingency reserve. |
| Estimated minimum viable Phase 1 total | $65K–$175K | Assumes a pilot-scale deployment using existing building capacity where possible; major service upgrades quoted separately. |
As the funding partner, the landlord takes the majority share of the compute revenue above, while AdPrompt’s share covers all operations, maintenance, support, and growth. The figures below show monthly landlord income at several negotiable splits across the three scenarios — income that scales directly with utilization.
| Landlord share | Starter (~$4K) | Growth (~$31K) | Expanded (~$51K) |
|---|---|---|---|
| 50% | ~$2,000 / mo | ~$15,500 / mo | ~$25,500 / mo |
| 60% | ~$2,400 / mo | ~$18,600 / mo | ~$30,600 / mo |
| 70% | ~$2,800 / mo | ~$21,700 / mo | ~$35,700 / mo |
Every model is built around a simple split of roles: the landlord funds the build-out and owns the equipment, AdPrompt provides the expertise to design, build, operate, maintain, and grow it, and the landlord earns the upside revenue share — with the exact split tied to whichever structure both sides prefer.
The landlord funds Phase 1 and owns the equipment and improvements; AdPrompt designs, builds, operates, maintains, and grows the room; and the landlord earns the majority revenue share as the return on that investment.
The landlord funds the lean Phase 1 first, with expansion capital released only as utilization is proven — protecting the landlord’s downside while preserving the upside.
AdPrompt can optionally co-fund part of the equipment to share risk, with the revenue split adjusted to reflect each side’s contribution.
Review the opportunity, confirm power, HVAC, and code feasibility for Suite L120, and align on a partnership structure to launch the lean Phase 1 deployment.