Singularity Cluster Config

This repository documents the high-level architecture and configuration skeleton for the Singularity Cluster — a fully self-owned, on-prem AI supercomputing system, designed for sovereign AI research, model development, and scientific advancement.

The Singularity Cluster represents:

• Decentralized scientific research without institutional oversight
• Full-stack AI and simulation infrastructure built independently
• A private internal ecosystem for high-signal researchers and creators

Note:
Sensitive security details (API keys, internal networking specifics, private comms) are intentionally omitted. This repository is a high-level technical scaffold, evolving as hardware and operational layers come online.

Built for autonomy. Engineered for sovereignty.

Repository Structure

plaintext singularity-cluster-config/ ├── README.md ├── LICENSE ├── cluster_overview.md ├── singularity_manifest.md ├── host_machine/ │ ├── control_scripts/ │ │ ├── job_scheduler.sh │ │ ├── cluster_health_check.py │ │ └── orchestration_notes.md │ └── autoapi_config/ │ ├── autoapi_config.yaml │ └── workflows.md ├── nas_storage/ │ ├── raid_config.md │ ├── data_retention_policy.md │ └── nvme_cache_setup.sh ├── compute_layer/ │ ├── gpu_training/ │ │ ├── training_node_config.yaml │ │ └── gpu_cluster_setup.md │ ├── gpu_inference/ │ │ └── inference_server_config.yaml │ ├── cpu_training/ │ │ └── cpu_training_config.yaml │ └── cpu_inference/ │ └── cpu_batch_config.yaml ├── networking/ │ ├── 10gbe_setup.md │ ├── distributed_systems_notes.md │ └── rust_cuda_notes.md ├── model_hosting/ │ ├── model_versioning_strategy.md │ ├── research_distribution.md │ └── trusted_node_protocol.md ├── future_expansion/ │ ├── scaling_plans.md │ ├── multi-node_coordination.md │ ├── fault_tolerance_roadmap.md │ └── sovereign_research_network.md ├── internal_ecosystem/ │ ├── communication_protocols.md │ ├── savant_card_initiative.md │ └── license_and_access_rights.md └── .gitignore

Public Modules

• host_machine/ — Orchestration and control layer configs.
• nas_storage/ — Scalable storage architecture.
• compute_layer/ — GPU/CPU training and inference server templates.
• networking/ — Distributed compute networking notes.
• model_hosting/ — Model storage, versioning, and trusted distribution.
• future_expansion/ — Scaling roadmap for multi-node, multi-domain research.
• internal_ecosystem/ — High-level private communication, collaboration, and access protocols.