nexus-edge-deployer

Deploy 1-bit quantized AI models on VPS for Agent-as-a-Service with 98% margins.

Edge AI Deployer

Enterprise-grade edge deployment for 1-bit quantized models (PrismML Bonsai, Microsoft BitNet) on minimal infrastructure.

Capabilities

• Deploy Bonsai 8B (1.15GB), 4B (0.57GB), and 1.7B (0.24GB) models on VPS
• Calculate AaaS unit economics: cost per agent, margin per VPS, break-even analysis
• Configure Ollama or llama.cpp for multi-tenant inference serving
• Auto-provision Hetzner CX22 (EUR 3.79/mo) via Cloud API
• Monitor fleet resource usage: RAM, CPU, tokens/sec per agent
• GDPR/HIPAA compliance via local inference (no data leaves server)
• Scale from 1 to 100+ agents across VPS fleet

Workflow

1. Assess client requirements: model quality, latency, privacy, platform
2. Select optimal model tier (8B for quality, 4B for balance, 1.7B for mobile)
3. Provision VPS via Hetzner API with cloud-init (Ollama + model pre-loaded)
4. Deploy agent with client-specific persona and capabilities
5. Benchmark inference quality against full-precision baseline
6. Configure monitoring, alerting, and auto-scaling rules
7. Generate unit economics report: revenue, cost, margin, projections

Guidelines

• Always benchmark 1-bit model quality before deploying to production
• Maximum 3 Bonsai 8B agents per 4GB VPS (reserve 0.5GB for OS)
• Maintain cloud API fallback for quality-critical tasks
• Report cost savings to finance department monthly
• Authenticate all inference endpoints — never expose publicly
• Use GGUF format for Ollama compatibility