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🎨 Palette: Enhanced Architecture Diagram & Accessibility #70

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18 changes: 13 additions & 5 deletions README.md
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Expand Up @@ -15,27 +15,35 @@ Dual nature—combining bare-metal virtualized hardware management (aSHARD VRAM
## 🏗️ Architecture

```mermaid
--- title: Arbiter Architecture ---

@chatgpt-codex-connector chatgpt-codex-connector Bot Jun 17, 2026

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P2 Badge Use valid Mermaid frontmatter delimiters

This inline --- title: Arbiter Architecture --- is not valid Mermaid frontmatter; Mermaid requires the opening --- to be the only text on the first line and a separate closing delimiter before graph TD (per the Mermaid syntax docs). In README renderers such as GitHub, this line is parsed as diagram syntax rather than metadata, so the architecture diagram shows a Mermaid parse error instead of rendering.

Useful? React with 👍 / 👎.

graph TD
subgraph CloudNative [Cloud Native Layer]
K8s[Kubernetes Cluster]
AI([AI Workloads])
K8s([Kubernetes Cluster])
end

subgraph Orchestration [Orchestration Layer]
Arbiter((Arbiter Core))
QS[Quantum Scheduler]
QS{{Quantum Scheduler}}
end

subgraph Infrastructure [Infrastructure Layer]
VRAM{{aSHARD VRAM Pinning}}
BM[Bare Metal Hardware]
GPU[GPU Resources]
end

AI --> K8s
K8s <--> Arbiter
Arbiter <--> QS
Arbiter <--> BM
Arbiter <--> VRAM
VRAM <--> BM
BM --- GPU

style Arbiter fill:#f96,stroke-width:4px
style CloudNative stroke-dasharray: 5 5
style Orchestration stroke-dasharray: 5 5
style Infrastructure stroke-dasharray: 5 5
```

## 🚀 Key Features
Expand All @@ -47,8 +55,8 @@ graph TD

## 🧪 Context

`arbiter` was created by **Igor Holt** (AI Architect) as part of the **Genesis Conductor Engine**. It serves as the resource orchestration layer for AI workloads, bridging low-level hardware management with cloud-native scheduling to ensure optimal utilization of specialized compute resources.
`arbiter` was created by **Igor Holt** (AI Architect) as part of the [Genesis Conductor Engine](https://genesisconductor.io "Genesis Conductor Engine - Official Website"). It serves as the resource orchestration layer for AI workloads, bridging low-level hardware management with cloud-native scheduling to ensure optimal utilization of specialized compute resources.

## ⚖️ License

This project is licensed under the [MIT License](LICENSE).
This project is licensed under the [MIT License](LICENSE "MIT License - Open source software license agreement").