ZEUS ARCHITECTURE SPECIFICATION
v1.0 โ Autonomous Intelligence Infrastructure Node
A Standalone, Decentralized, AI-First Systems Platform for Data Science, Software Engineering, Network Engineering, Systems Design, Medical Research and LLM DevOps. Skys the limit with a fully optimized RAG implemented.
๐ View Complete Technical Specifications โ
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 โ 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 โ 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 โ runs before and after every deploy. |
| Modular by Design | Docker Compose services replaced independently โ no vendor lock-in. |
| Observability-First | Prometheus + Grafana + cAdvisor form a triple-layer telemetry fabric: service โ container โ host. |
Service Manifest
All services operate on network_mode: host โ no NAT, no proxy, no latency penalty. Just raw, efficient inter-process communication.
| Service | Role | Status |
|---|
open-webui | LLM Inference & RAG Frontend | โ
Validated |
qdrant | Vector Database (gRPC + HTTP) | โ
Validated |
pytorch-notebook | Research Environment (Jupyter + CUDA) | โ
Validated |
unsloth | Efficient LoRA Fine-tuning | โ
Validated |
n8n | Workflow Orchestrator | โ
Validated |
tika | Document Intelligence Engine | โ
Validated |
prometheus + grafana + cadvisor | Observability Triad | โ
Validated |
adguard + searxng | Edge Security & Search | โ
External VMs |
Current Capabilities
| Capability | Status | Details |
|---|
| Secrets Management | โ
Production | All API keys/tokens moved to .env โ zero plaintext in compose |
| Infrastructure Validation | โ
Production | zeus-validator.sh runs all checks, reports all failures, exits correctly |
| Resource Governance | โ
Production | Memory limits enforced, GPU reservations correct, no overcommit |
| gRPC + RAG | โ
Production | Qdrant gRPC (http://localhost:6334), hybrid RAG with RAG_TOP_K=10 |
| Observability Stack | โ
Production | Prometheus, Grafana, cAdvisor โ local metrics, no cloud |
| Network Stability | โ
Production | Bridged LAN (br0) on enp3s0 โ no NAT, no packet loss |
Future Goals
Low-risk, high-value enhancements โ only where they improve stability, security, or usability.
| Goal | Priority | Notes |
|---|
| Automated Deploy+Validate Loop | Medium | Alias dcup โ deploys + validates in one command (no breaking changes) |
| GPU Memory Monitoring | Low | Extend zeus-validator.sh to check VRAM usage โ optional for users with high GPU load |
| Remote Access Gateway | Medium | Optional: Secure web gateway (HTTPS, auth) โ still no external dependency, just better TLS |
| Multi-Node Sync (Future) | Long-term | qdrant-data sync over gRPC between Zeus nodes โ not needed for single-node Zeus |
Security Posture
- Zero External Dependencies โ All services run on
localhost. No cloud, no SaaS.
- Secrets in
.env โ All API keys/tokens moved to file-based secrets.
- Local Observability โ Metrics never leave the host. Grafana dashboards, not Prometheus SaaS.
- Perimeter Security โ 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 โ Tika โ Qdrant) | ~1.2 docs/sec, 98% success |
| LoRA Fine-tuning | memory: 8G, cpus: 2.0 | ~350 tokens/sec, VRAM < 18GB |
Stephen Sargent
Chief Architect, Sovereign AI Infrastructure | @adminsnet.net | Phoenix, AZ
โ 38 Years of No-Nonsense Systems & Network Design โ
Licence & Attribution
This specification describes a self-hosted, open-architecture system built with Docker, Prometheus, and community LLMs. No trade secrets โ only engineering choices. No external
APIs โ all data stays in-house.
ยฉ Zeus Operating Collective โ for internal documentation and publication. Not a trademark. Yet.