diff --git a/README.md b/README.md index 80d6c39..49d59ec 100644 --- a/README.md +++ b/README.md @@ -1,14 +1,47 @@ # ⚖️ arbiter -[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) -![Status: Experimental](https://img.shields.io/badge/Status-Experimental-orange) +[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg "License: MIT - Open source software license")](https://opensource.org/licenses/MIT) +![Status: Experimental](https://img.shields.io/badge/Status-Experimental-orange "Project Status: Experimental - Not recommended for production use") + +> [!CAUTION] +> This project is currently in an **Experimental** state. It is a research prototype and is not recommended for production use. Dual nature—combining bare-metal virtualized hardware management (aSHARD VRAM pinning) with quantum-accelerated Kubernetes scheduling. +## 🧪 Context + +`arbiter` was created by **Igor Holt** (AI Architect) as a core component of the **Genesis Conductor Engine**. It serves as the resource orchestration layer for high-demand AI workloads, bridging the gap between physical hardware constraints and cloud-native scalability. + ## 📖 Overview `arbiter` is a specialized orchestration layer designed for high-performance computing environments. It bridges the gap between low-level hardware management and cloud-native scheduling, providing a unified interface for managing virtualized resources with precision. +```mermaid +graph TD + subgraph CloudNative [Cloud Native Layer] + K8s[Kubernetes Cluster] + Workloads[AI/ML Workloads] + end + + subgraph Orchestration [Orchestration Layer] + Arbiter((Arbiter Core)) + Scheduler[Quantum-Accelerated Scheduler] + end + + subgraph Infrastructure [Infrastructure Layer] + BareMetal[Bare-Metal Servers] + VRAM[aSHARD VRAM Pinning] + end + + Workloads --> K8s + K8s <--> Arbiter + Arbiter <--> Scheduler + Arbiter <--> VRAM + VRAM <--> BareMetal + + style Arbiter fill:#f96,stroke-width:4px +``` + ## 🚀 Key Features - 🏗️ **Infrastructure Awareness**: Directly manages bare-metal resources for maximum performance.