Caution
This project is currently experimental. It is not recommended for production use as it involves low-level hardware orchestration and next-gen scheduling algorithms that are still undergoing validation.
Dual nature—combining bare-metal virtualized hardware management (aSHARD VRAM pinning) with quantum-accelerated Kubernetes scheduling.
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.
---
title: Arbiter System Architecture
---
graph TD
subgraph CloudNative [Cloud Native Layer]
WL[AI Workloads] --> K8s([Kubernetes Cluster])
end
subgraph Orchestration [Orchestration Layer]
Arbiter((Arbiter Core))
QS{{Quantum Scheduler}}
end
subgraph Infrastructure [Infrastructure Layer]
Pinning[aSHARD VRAM Pinning]
BM[Bare Metal Hardware]
GPU[GPU Resources]
end
K8s <--> Arbiter
Arbiter <--> QS
Arbiter <--> Pinning
Pinning <--> 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
- 🏗️ 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.
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.
This project is licensed under the MIT License.