Federated AI Service Mesh
An AI Federated Mesh—a distributed, self-healing network that orchestrates intelligence, audits finance, and secures data without vendor lock-in. Treat local hardware, remote servers, and cloud APIs as a single, cohesive intelligence layer.
Core Components
The ecosystem acts as a hardware abstraction layer. The Application requests "Capabilities", and the Mesh handles the networking, security, routing, and execution.
- Client (Consumer)
- MiniGate (Edge Proxy)
- Quantum Gate (Router)
- Daemons (Hardware)
1. The MiniGate (Sidecar)
It mimics external services (like a Postgres Server) on a local port. It intercepts traffic, compresses it using a high-ratio algorithm, encrypts it (Zero-Trust), and tunnels it to the Quantum Gate. It handles connection stability, masking network jitters from the Client.
2. Quantum Gate (The Brain)
The central authority for Authentication,
Routing, and Governance. It holds the actual
Database credentials and API keys; the Client
never sees them. It parses qg:// requests
to select the optimal model.
3. The Daemons (The Hands)
Small services running on compute nodes. They monitor hardware telemetry (VRAM, Bus Speed, Load) and manage local runtimes (swapping models in Llama.cpp/Ollama). They report "Inventory" back to the Gate.
Connection Logic
How data moves through the mesh.
The "Ghost" Wire
Client connects to localhost:11438 using pseudo-credentials.
MiniGate wraps the query in the Tunnel Protocol (compressed) and shoots it to Quantum Gate.
Quantum Gate looks up the Real DB credentials and forwards the query to the Postgres Cluster.
The DSN Flow
Client sends request: qg://task=summarize;prefer=speed
Route Check: Gate checks Internal NLP. "Can I do this?" → Yes, 360/sec. → Executed.
Alternative: If task was `creative_writing`, Gate checks Local Daemon for VRAM availability.
Platform Capabilities
Fluid Compute Fabric
Workloads automatically flow to the most appropriate hardware. If a GPU is busy, the mesh "liquifies" the request and routes it to an equivalent model on a different machine.
Inventory Coherence
A "Single Pane of Glass" view that automatically discovers, interrogates, and catalogs every model and service across your entire private network.
Zero-Trust Abstraction
Decoupling application logic from secrets. Applications hold keys to the Gate, not the Database, allowing for seamless rotation without breaking the client.
Attributable Graph Memory
Memory that doesn't hallucinate. Every data point in the knowledge graph is inextricably linked to its source sentence, providing instant citations.
Hardware-Aware Quantization
The system selects model quantization levels based on specific memory bandwidth and bus speeds of the host machine for optimal throughput.
FinOps for LLMs
Dynamic economic routing. The system monitors budget burn-down rates and shifts workloads from expensive proprietary models to efficient local alternatives.
Stop building gateways. Start building a Mesh.
If you have a difficult network, we want to hear about it.
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