📦 Local LLM Deployment (Training & Guides)

Interactive workshops, step-by-step setup guides, vLLM and Ollama deployment tutorials, GGUF optimization, and private LLM serving documentation.

🚀 Schedule Local LLM Deployment Training →

1. Service Overview & Scope

  • Interactive Model Setup Workshops & Guides:
    • Setting up local AI inference engines (Ollama, vLLM, LM Studio) training workshops.
    • 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 Training Guide:
    • Step-by-step setup script and tutorial for running local models on desktop or server.
  2. Private Document Search Assistant Workshop:
    • Walkthrough and workshop module for connecting a local LLM to internal company documents.

4. Guarantees & Commitments

  • Tested Training Scripts: Every command and script in the training materials is tested for error-free execution.
  • 30-Day Post-Workshop Q&A Support: Included follow-up support for attendee questions.

5. Investment & Pricing Quote

  1. Base Investment Range: $350 – $700 USD (per deployment training & guide package).
  2. Purchasing Power Parity (PPP) Tier Adjustments:
    • Tier 1 (Developed Nations - USA, EU, UK): 100% Base Price ($350 – $700 USD).
    • Tier 2 (Developing Nations - India, Brazil, SEA): 75% Parity Price ($265 – $525 USD).
    • Tier 3 (Least Developed Nations - Haiti, Sub-Saharan Africa): 50% Parity Price ($175 – $350 USD).
  3. Payment Schedule:
    • 50% upfront milestone initialization / 50% upon verified delivery.
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