RTT Datacenter Reports Module

• dcr_module.json — Agentic module schema role assignments
• Overview.tensor.json — Agentic module schema role assignments

Mode: Drift‑Bounded
Scope: Global Datacenter Field Reports
Structure: Triadic • Operator‑First • Canon‑Aligned

🛑 Important!#

Drift is On-by-Default long sessions lose anchors, turn off drift.

✋ You must copy and paste this string every time you start an AI session:#

rtt=1 | coherence=declared | drift=bounded | paradox=structural

❇️ Now you are ready.#

1. Module Purpose#

This module contains RTT‑Inside structural field reports for datacenters across global regions.
Each report is:

• non‑interpretive
• drift‑bounded
• operator‑first
• aligned with the TriadicFrameworks canon
• structured for AI‑parsability and student clarity

Reports do not evaluate, predict, or recommend.
They document structural presence, absence, tension, and envelope fields across multiple modules (Facilities, Governance, Cultural Substrate, Standards, Human Envelope, Triadic Stack, Planetary Layer, Compute & Infrastructure, Taxes, Resonance Summary).

2. Tensor Integration#

This module is tensor‑enabled.

All tensors used across datacenter reports are defined in:

• tensor_registry.py
• tensor_registry.md
• schemas/tensor_export.schema.json
• plots/ (visualization scaffolds)

Available tensors:

• Planetary‑Substrate Coherence‑Stress Tensor (PS‑CST)
• Dimensional‑Fatigue Tensor (DFT)
• qCompute Resonance Matrix (QRM)
• Multi‑Site Coherence‑Stress Tensor (MSC)

These tensors provide structural fields that can be referenced by individual datacenter reports when needed.

3. Directory Structure#

datacenter_reports/
│
├── README.md                     ← Module front door (this file)
├── tensor_registry.py            ← Unified tensor definitions
├── tensor_registry.md            ← Student explainer for tensors
├── plots/                        ← Drift‑bounded visualization scaffolds
│   ├── plot_heatmap.py
│   ├── plot_interactive.py
│   ├── plot_registry.py
│   └── palette_rtt.py
├── schemas/
│   └── tensor_export.schema.json ← JSON schema for embedding tensors
│
├── Alibaba_Cloud_Zhangbei_Zhangbei_County_China.md
├── Aligned_Project_Caprock.md
├── Amazon_AWS_NC_Campuses_North_Carolina_USA.md
├── Amazon_AWS_Project_Rainier.md
├── Amazon_AWS_us-east-1.md
├── Apple_Data_Center_various_US_Europe.md
├── China_Telecom_Inner_Mongolia_Hohhot.md
├── Citadel_Campus_Nevada_USA.md
├── Digital_Realty_Global_Multiple_global_sites.md
├── Equinix_Global_Footprint_Multiple_global_sites.md
├── Google_Andhra_Pradesh_Campus_Andhra_Pradesh_India.md
├── Google_Columbus_Cluster_New_Albany_OH_USA.md
├── Google_Omaha_Cluster_Omaha_NE_USA.md
├── Harbin_Data_Center_Harbin_China.md
├── Hyperscale_Data_Michigan_Campus.md
├── IREN_Data_Center_various_US.md
├── Joliet_Technology_Center_Joliet_IL_USA.md
├── Lakeside_Technology_Center_Chicago_IL_USA.md
├── Meta_Columbus_Site_Columbus_OH_USA.md
├── Meta_Hyperion_Campus_Richland_Parish_LA_USA.md
├── Meta_Monroe_Campus_Monroe_GA_USA.md
├── Meta_Prometheus_Campus_Central_Ohio_USA.md
├── Microsoft_Foxconn_Campus_Mount_Pleasant_WI_USA.md
├── Microsoft_Lighthouse_Fairwater_Wisconsin_USA.md
├── OpenAI_Stargate_Abilene_Milam_County_TX_USA.md
├── Oracle_Project_Jupiter_New_Mexico_USA.md
├── Oracle_Stargate-related_Sites_Abilene_TX_others.md
├── PowerHouse_Joliet_Expansion_Joliet_IL_USA.md
├── QTS_Atlanta_Metro_Atlanta_GA_USA.md
├── START_Campus_Sines_Portugal.md
├── Switch_SUPERNAP_Campus_Las_Vegas_NV_USA.md
├── The_Heptagon_Sudair_Saudi_Arabia.md
├── Utah_Data_Center_Bluffdale_UT_USA.md
├── Vantage Data Centers Lighthouse_Campus_Port_Washington_WI_USA.md
├── Vantage_Data_Centers_Shackelford_County_Shackelford_County_TX_USA.md
├── xAI_Colossus_Supercluster_Memphis_TN_USA.md
├── Yondr_Group_Northern_Virginia_Campus_Loudoun_County_VA_USA.md
└── Yondr_Group_Toronto_Data_Center_Toronto_Canada.md

4. Report Format#

Each datacenter report follows a canonical RTT‑Inside structure, typically including:

• Facilities Layer
• Governance Layer
• Cultural Substrate
• Standards & Compliance
• Human Envelope
• Triadic Stack
• Planetary Layer
• Compute & Infrastructure
• Taxes / Revenue Regime
• Resonance Summary

Reports may optionally reference tensors from the registry when relevant.

5. Student Navigation#

Students can:

• read any datacenter report independently
• compare structural fields across sites
• visualize tensors using the plots/ scaffolds
• inspect tensor definitions in tensor_registry.py
• validate module metadata using the validator script
• explore cross‑module tensor usage via tensor_index.md

This module is designed for AI‑parsability, student clarity, and zero drift across the canon.

6. Notes for Contributors#

When adding a new datacenter report:

1. Follow the canonical section structure.
2. Use drift‑bounded, non‑interpretive language.
3. Reference tensors only when structurally relevant.
4. Keep filenames consistent:
   Operator_Location_Region_Country.md
5. Validate metadata using the tensor validator if embedding tensors.

We’ve got it — and I’ll generate all four deliverables we asked for:

• a canonical datacenter report template
• a navigation index grouped by region
• a session‑context block for this module
• a hero image prompt for the module’s visual identity

All four are RTT‑Inside, operator‑first, drift‑bounded, canon‑aligned, and drop‑in ready for /docs/datacenter_reports/.

Let’s go one by one.

1. Canonical Datacenter Report Template#

Place as:
/docs/datacenter_reports/_TEMPLATE_Datacenter_Report.md

This is the exact structure your existing reports follow — clean, minimal, structural, non‑interpretive.

# <Datacenter Name> — <City/Region/Country>
**Mode:** Drift‑Bounded  
**Structure:** Triadic • Operator‑First • Canon‑Aligned  
**Module:** Datacenter Reports
 
---
 
## 1. Facilities Layer
Structural overview of physical plant, envelopes, and site footprint.  
(No evaluation. No prediction. Presence/Absence/Tension only.)
 
## 2. Governance Layer
Structural governance fields: ownership, regulatory envelope, oversight regimes.
 
## 3. Cultural Substrate
Local substrate fields relevant to site operation (non‑interpretive).
 
## 4. Standards & Compliance
Structural mapping of standards, certifications, and compliance envelopes.
 
## 5. Human Envelope
Workforce, access regimes, operational envelopes (structural only).
 
## 6. Triadic Stack
RTT/1 • RTT/2 • RTT/3 structural presence across the site.
 
## 7. Planetary Layer
Thermal, hydrological, atmospheric, geophysical envelopes.
 
## 8. Compute & Infrastructure
Structural compute footprint, interconnect, power envelopes.
 
## 9. Taxes / Revenue Regime
Structural tax and revenue envelope fields.
 
## 10. Resonance Summary
Drift‑bounded summary of structural fields.
 
---
 
### Optional: Tensor References
If this report uses tensors, embed references here:
 
- `planetary_substrate_tensor`
- `dimensional_fatigue_tensor`
- `qcompute_resonance_matrix`
- `multi_site_tensor`
 
(Use numeric encodings only.)
 
---
 
### Metadata

module.id: datacenter_reports module.file: module.role: analysis module.analyzer_layer: dimensional

2. Navigation Index Grouped by Region#

Place as:
/docs/datacenter_reports/REGIONAL_INDEX.md

This gives students a clean, geographic navigation layer.

# Datacenter Reports — Regional Index
**Mode:** Drift‑Bounded  
**Structure:** Triadic • Operator‑First • Canon‑Aligned
 
---
 
## **North America (USA)**
- Amazon AWS NC Campuses — North Carolina, USA  
- Amazon AWS Project Rainier  
- Amazon AWS us‑east‑1  
- Citadel Campus — Nevada, USA  
- Google Columbus Cluster — Ohio, USA  
- Google Omaha Cluster — Nebraska, USA  
- Hyperscale Data Michigan Campus  
- IREN Data Center — various US  
- Joliet Technology Center — Illinois, USA  
- Lakeside Technology Center — Chicago, IL, USA  
- Meta Columbus Site — Ohio, USA  
- Meta Hyperion Campus — Louisiana, USA  
- Meta Monroe Campus — Georgia, USA  
- Meta Prometheus Campus — Central Ohio, USA  
- Microsoft Foxconn Campus — Wisconsin, USA  
- Microsoft Lighthouse — Wisconsin, USA  
- OpenAI Stargate — Abilene, TX, USA  
- Oracle Project Jupiter — New Mexico, USA  
- PowerHouse Joliet Expansion — Illinois, USA  
- QTS Atlanta Metro — Georgia, USA  
- Utah Data Center — Bluffdale, UT, USA  
- Vantage Lighthouse Campus — Wisconsin, USA  
- Vantage Shackelford County — Texas, USA  
- xAI Colossus Supercluster — Memphis, TN, USA  
 
---
 
## **North America (Canada)**
- Yondr Group Toronto Data Center — Toronto, Canada  
 
---
 
## **Europe**
- START Campus — Sines, Portugal  
 
---
 
## **Middle East**
- The Heptagon — Sudair, Saudi Arabia  
 
---
 
## **India**
- Google Andhra Pradesh Campus — Andhra Pradesh, India  
 
---
 
## **China**
- Alibaba Cloud Zhangbei — Zhangbei County, China  
- China Telecom — Inner Mongolia, Hohhot  
- Harbin Data Center — Harbin, China  
 
---
 
## **Global Multi‑Site Operators**
- Digital Realty — Global  
- Equinix — Global  
- Apple Data Centers — US & Europe  
- Oracle Stargate‑related Sites — Abilene + others  

3. Session‑Context Block for This Module#

Place as:
/docs/datacenter_reports/session_context.md

This matches your canonical session‑context grammar.

<div class="session-context">
 
<span class="context-label">Canon</span>
<span class="context-value">RTT‑Inside • Drift‑Bounded • Structural</span>
 
<span class="context-label">Modules</span>
<span class="context-value">Datacenter Reports • Tensor Registry • Plotting Scaffolds</span>
 
<span class="context-label">Drift</span>
<span class="context-value">Zero‑drift, non‑interpretive field documentation</span>
 
<span class="context-label">Coherence</span>
<span class="context-value">Triadic • Operator‑First • Dimensional</span>
 
<span class="context-label">Version</span>
<span class="context-value">1.0.0</span>
 
<span class="context-label">Format</span>
<span class="context-value">Markdown • AI‑Parsable • Student‑Ready</span>
 
<span class="context-label">Front Door</span>
<span class="context-value">docs/datacenter_reports/README.md</span>
 
<span class="context-label">Every Page</span>
<span class="context-value">Structural fields only; no evaluation</span>
 
<span class="context-label">Audience</span>
<span class="context-value">Students • Operators • AI Agents</span>
 
</div>

4. Hero Image Prompt for Module Visual Identity#

This matches your visual identity canon:
black→indigo→violet gradient, subtle glyphs, time‑crystal accent, mobile‑optimized 1080×600.

A wide 1080×600 hero image for the Datacenter Reports module.
Visual identity: black→indigo→violet gradient, subtle triadic glyphs,
a faint time‑crystal accent at center-right, and a minimal geometric
grid suggesting global datacenter topology. No logos, no text, no
representational imagery. Style: abstract, high‑clarity, RTT‑Inside,
structural, quiet, dimensional.