## Core Thesis & Strategy
- [[Navon Thesis]]
- [[Market Intel - Navon]]
- [[What do hyperscalers care about]]
- [[Bitcoin Miners Insight]]
- [[IREN Learnings]]
- [[Navon Crypto]]
- [[Navon Hyperscaler Site Brokerage Competitors]]
- [[Kenya Telco Market x Navon Role]]
## Data Sovereignty & Security
- [[Data Embassies]] x [[Navon Data Embassies]]
- [[Navon Sovereign Vaults]]
- [[Navon Security Offering]]
- [[Security Testbed Deployment MOC]]
## Modular Infrastructure Design
- [[Data Center MoC]]
- [[Modular Data Center Design Principles]]
- [[Mining Container]]
- [[Broadband Tech Terms Explained]]
## Energy & Power
- [[Natural Gas Flaring and Impact]]
- [[Biomass Gassification]]
- [[The case for Off Grid Solar]]
- [[Peak Power Output]]
- [[RMS]]
- [[Single Line Diagram]]
- [[Power Infrastructure]]
## Compute & Workload Architecture
- [[Bare Metal]]
- [[VMs]]
- [[Docker Containers]]
- [[MIGs]]
- [[Clustering]]
- [[Scheduling]]
- [[OpenCL]]
- [[VLSI]]
## Storage & Networking
- [[Storage Solutions]]
- [[NVMe Fabric]]
- [[NIC - Network Interface Cards]]
## Hardware Foundations
- [[Amax Hardware Set up]]
- [[Racks]]
- [[UPS Batteries]]
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### Directional Arrows of Progress
These represent the general evolution paths visible across data center infrastructure:
**Power → Compute**
`Utility Feed → Transformer → Switchgear → UPS → PDU → Rack → IT Load`
Every watt must traverse this chain. Efficiency at each stage compounds.
**Heat Generation → Heat Removal**
`Air Cooling → Direct-to-Chip Liquid → Immersion → Two-Phase`
As rack density increases, cooling must evolve from moving air to moving liquid to phase-change systems.
**Physical Hardware → Abstracted Workloads**
`VLSI → Bare Metal → VMs → Docker Containers → MIGs`
Each layer adds flexibility and utilisation at the cost of some overhead.
**Single Node → Cluster → Scheduled Fleet**
`Single Server → Clustering → Scheduling → Orchestrated Fleet`
Workloads evolve from running on one machine to being distributed, scheduled, and auto-scaled across many.
**Centralised → Modular → Edge**
`Hyperscale Campus → Prefab Modules → Edge Containers`
Deployment models shift from massive builds to rapid, repeatable modular rollouts closer to demand.
---
### First Principles (from Infrastructure Patterns)
1. **Power is the constraint, not compute** — every site decision starts with available power capacity and the reliability of the power chain
2. **Heat is the byproduct of density** — higher compute density per rack demands proportionally more sophisticated cooling
3. **Redundancy determines uptime tier** — N+1 vs 2N in both power and cooling defines the reliability class of the facility
4. **Modularity trades capex for speed** — prefabricated modules cost more per unit but deploy in weeks instead of months
5. **Abstraction layers trade efficiency for flexibility** — bare metal is fastest but hardest to share; containers and MIGs enable multi-tenancy
6. **Network topology shapes workload capability** — storage fabric, compute fabric, and management networks must be designed together, not bolted on