📦 Local LLM Deployment (Systems & Guides)

1. Service Overview & Scope

• Model Architecture Setup & Guides:
  • Setting up local AI inference engines (Ollama, vLLM, LM Studio) architectures.
  • Selecting lightweight, quantized models (GGUF) for standard hardware tutorials.
  • Air-gapped private model deployment walkthroughs for enterprise data security.
• Key Benefits:
  • Zero data sent to third-party cloud APIs, reduced latency, and lower monthly API bills.

2. Supported Tools & Hardware

• Tools & Serving Engines:
  • Ollama, vLLM, and Docker containers.
  • Open-weight models (Llama 3, Mistral, Phi-3, Gemma).
• Hardware Requirements:
  • Standard consumer GPUs, Mac Laptops (Apple Silicon), or basic cloud servers.

3. Deliverable Examples

1. Local Ollama Deployment System & Guide:
   • Step-by-step setup script and tutorial for running local models on desktop or server.
2. Private Document Search Assistant System:
   • Walkthrough and architecture module for connecting a local LLM to internal company documents.

4. Guarantees & Commitments

• Tested Deployment Scripts: Every command and script in the delivery materials is tested for error-free execution.
• 30-Day Post-Delivery Technical Support: Included follow-up support for technical questions.

5. Investment & Pricing Quote

1. Base Investment Range: $1,500 – $3,000 USD (per deployment system & guide package).
2. Purchasing Power Parity (PPP) & Custom Pricing Tiers:
   • Adjustments available via Purchasing Power Parity (Tier 1: 100%, Tier 2: 75%, Tier 3: 50%). Tier 4 startup discount (50%) and Tier 5 custom pricing are available on request for non-profits, educational institutions, startups, under-privileged institutions, and underprivileged clients. Inquire during intake.
3. Payment Schedule:
   • 50% upfront milestone initialization / 50% upon completed delivery and sign-off.