ZEUS Specification — Autonomous AI DevOps Infrastructure Node

Executive Summary

Zeus is not a server. It is a protocol. A self-contained infrastructure node designed to think, act, and evolve like an AI engineer — without ever needing the internet.

Where traditional AI platforms demand cloud dependency and API costs, Zeus runs offline-first, stays sovereign, and optimizes for autonomy. It unifies five domains into one resilient stack:

AI Development
DevOps/MLOps
Network Engineering
Systems Engineering
Data Science

Design Mantra: “If it can’t run without the internet, it shouldn’t be in Zeus.”

Core Architecture Principles

Principle	Description
Offline-First	All AI/LLM ops run locally: Ollama, sentence-transformers, Qdrant — no external APIs required.
Sovereign Data	Embeddings, uploads, and queries never leave the host. No data leakage. No SaaS.
Self-Validating	`zeus-validator.sh` enforces infrastructure SLAs — runs before and after every deploy.
Modular by Design	Docker Compose services replaced independently — no vendor lock-in.
Observability-First	Prometheus + Grafana + cAdvisor form a triple-layer telemetry fabric: service → container → host.

Service Manifest

All services operate on network_mode: host — no NAT, no proxy, no latency penalty. Just raw, efficient inter-process communication.

Service	Role	Status
`open-webui`	LLM Inference & RAG Frontend	✅ Validated
`qdrant`	Vector Database (gRPC + HTTP)	✅ Validated
`pytorch-notebook`	Research Environment (Jupyter + CUDA)	✅ Validated
`unsloth`	Efficient LoRA Fine-tuning	✅ Validated
`n8n`	Workflow Orchestrator	✅ Validated
`tika`	Document Intelligence Engine	✅ Validated
`prometheus + grafana + cadvisor`	Observability Triad	✅ Validated
`adguard + searxng`	Edge Security & Search	✅ External VMs

Current Capabilities

Capability	Status	Details
Secrets Management	✅ Production	All API keys/tokens moved to `.env` — zero plaintext in compose
Infrastructure Validation	✅ Production	`zeus-validator.sh` runs all checks, reports all failures, exits correctly
Resource Governance	✅ Production	Memory limits enforced, GPU reservations correct, no overcommit
gRPC + RAG	✅ Production	Qdrant gRPC (`http://localhost:6334`), hybrid RAG with `RAG_TOP_K=10`
Observability Stack	✅ Production	Prometheus, Grafana, cAdvisor — local metrics, no cloud
Network Stability	✅ Production	Bridged LAN (`br0`) on `enp3s0` — no NAT, no packet loss

Future Goals

Low-risk, high-value enhancements — only where they improve stability, security, or usability.

Goal	Priority	Notes
Automated Deploy+Validate Loop	Medium	Alias `dcup` — deploys + validates in one command (no breaking changes)
GPU Memory Monitoring	Low	Extend `zeus-validator.sh` to check VRAM usage — optional for users with high GPU load
Remote Access Gateway	Medium	Optional: Secure web gateway (HTTPS, auth) — still no external dependency, just better TLS
Multi-Node Sync (Future)	Long-term	`qdrant-data` sync over gRPC between Zeus nodes — not needed for single-node Zeus

Security Posture

Zero External Dependencies — All services run on localhost. No cloud, no SaaS.
Secrets in .env — All API keys/tokens moved to file-based secrets.
Local Observability — Metrics never leave the host. Grafana dashboards, not Prometheus SaaS.
Perimeter Security — AdGuard + SearXng VMs provide DNS filtering, ad-blocking, and safe search.

Philosophy: “If it requires an internet connection, it’s not part of Zeus.”

Performance Benchmarks (Observed)

Metric	Config	Result
Embedding Inference (32 docs)	`RAG_EMBEDDING_BATCH_SIZE=32`, GPU:0	~18 ms/doc
RAG Query (Top-K=10, Hybrid)	`qdrant-data: ~42GB`, gRPC	P95: 22ms
Document Ingestion	`n8n` pipeline (PDF → Tika → Qdrant)	~1.2 docs/sec, 98% success
LoRA Fine-tuning	`memory: 8G`, `cpus: 2.0`	~350 tokens/sec, VRAM < 18GB

DESIGN, ARCHITECTURE, AND DEPLOYMENT BY Stephen Sargent
Chief Architect, Sovereign AI Infrastructure | steve@adminsnet.net | Phoenix, AZ
— 38 Years of No-Nonsense Systems & Network Design —

Licence & Attribution

This specification describes a self-hosted, open-architecture system built with Docker, Prometheus, and community LLMs. No trade secrets — only engineering choices. No external APIs — all data stays in-house.

ZEUS ARCHITECTURE SPECIFICATION