diff --git a/README.md b/README.md index 80d6c39..96e7ba9 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,10 @@ # ⚖️ 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 experimental and under active development. It is not recommended for production use. Dual nature—combining bare-metal virtualized hardware management (aSHARD VRAM pinning) with quantum-accelerated Kubernetes scheduling. @@ -9,12 +12,38 @@ Dual nature—combining bare-metal virtualized hardware management (aSHARD VRAM `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] + K8s[Kubernetes Cluster] + Workloads[AI Workloads] + end + + subgraph Orchestration [Orchestration] + Arbiter((Arbiter Core)) + Scheduler[Quantum-Accelerated Scheduler] + end + + subgraph Infrastructure [Infrastructure] + BareMetal[Bare-Metal Hardware] + aSHARD[aSHARD VRAM Pinning] + end + + Workloads --> K8s + K8s <--> Scheduler + Scheduler <--> Arbiter + Arbiter <--> aSHARD + aSHARD <--> BareMetal + + style Arbiter fill:#f96,stroke-width:4px +``` + ## 🚀 Key Features -- 🏗️ **Infrastructure Awareness**: Directly manages bare-metal resources for maximum performance. -- 📍 **VRAM Optimization**: Uses aSHARD pinning to eliminate GPU memory fragmentation. -- ⚛️ **Next-Gen Scheduling**: Leverages quantum-accelerated algorithms for complex Kubernetes workloads. -- ⚖️ **Unified Orchestration**: A single control plane for both hardware and cluster-level operations. +- 🏗️ **Infrastructure Awareness**: Provides direct access to bare-metal resources, bypassing virtualization overhead for maximum performance. +- 📍 **VRAM Optimization**: Implements aSHARD pinning to ensure deterministic GPU memory allocation and eliminate fragmentation. +- ⚛️ **Next-Gen Scheduling**: Features quantum-accelerated algorithms designed to solve complex multi-dimensional resource constraints for Kubernetes workloads. +- ⚖️ **Unified Orchestration**: Bridges low-level hardware management with high-level cluster scheduling via a single, cohesive control plane. ## ⚖️ License