// SERVICE SPECIFICATION 02
Local LLMs & Cost Slashing
Cutting recurring cloud API bills by 60-90% by running open-weight models privately with Ollama, vLLM, llama.cpp and LM Studio on hardware you own.
1. Service Overview & Scope
- Moving High-Volume Work Off the Cloud: Shifting repetitive generative workloads from paid APIs to open-weight models (Llama, Qwen, Gemma, Mistral, DeepSeek) running on your own hardware.
- Hardware Sizing: Matching model size, from 8B to 120B parameters, to your GPUs and memory, and pricing the next hardware upgrade in US dollars and Indian rupees.
- Local-First Routing: Sending routine requests to local models and passing harder reasoning to Claude, with OpenRouter as an optional middle tier.
- Private Hosting: Running models on-premises on Linux (Ubuntu or Zorin), so source code, customer records and internal documents stay on your machines.
- Serving and Quantization: Setting up vLLM, Ollama, llama.cpp or LM Studio with GGUF or AWQ quantization chosen to fit your hardware.
2. Standard Architecture & Tools
- Inference Engines: vLLM for multi-user serving, llama.cpp and Ollama for lighter deployments, and LM Studio for desktop use.
- Open-Weight Model Families: Llama, Qwen, Gemma, Mistral and DeepSeek, selected and quantized per task.
- Routing Gateway: A FastAPI service exposing an OpenAI-compatible endpoint that routes each request to a local model or to Claude.
- Coding Agents on Local Models: OpenCode and Claude Code configured to use your local models for work they handle well.
3. Deliverable Examples & 4-Week Schedule
- Hardware Sizing & ROI Payback Calculator: Spreadsheet comparing hardware cost against your current monthly API spend, with the payback period for each option.
- Containerized Local Inference Stack: Docker Compose files that bring up your chosen inference engine with GPU acceleration and health checks.
- Local-First Routing Gateway: OpenAI-compatible FastAPI gateway that sends each request to a local model or to Claude based on task type.
- Benchmark & Verification Suite: Python scripts and pytest checks measuring tokens per second, latency under concurrent load, memory limits and answer quality on your own sample tasks.
| Timeline | Focus & Architecture | Core Deliverables & Artifacts | Verification & Sign-off Criteria |
|---|---|---|---|
| Week 1 | Workload Audit, Hardware Sizing & ROI Projections | API spend and token audit, hardware sizing and ROI payback calculator, hardware specification (NVIDIA GPUs, Apple Silicon, AMD ROCm), and model selection matrix (Qwen, Gemma, Llama, Mistral) | Approved hardware procurement plan, baseline cost comparison, and agreed latency/throughput target SLAs |
| Week 2 | Containerized Local Inference Serving Stack | Docker Compose deployment of chosen inference engine (vLLM, llama.cpp, Ollama, LM Studio), quantization setup (4-bit, 8-bit, 16-bit), GPU driver acceleration, and health-check endpoints | Local inference engine serving requests at target tokens/sec with verified OpenAI-compatible API responses |
| Week 3 | Local-First Routing Gateway & Fallback | OpenAI-compatible FastAPI / LiteLLM routing gateway sending routine queries to local models and escalating complex tasks to Claude, caching layer, and failure fallback handlers | Over 70% of standard workload resolved on local hardware with identical output quality and verified automatic escalation to Claude |
| Week 4 | Benchmark Verification, Privacy Lockdown & Handover | Python and pytest benchmark suite measuring latency and memory under concurrent load, firewall lockdown ensuring zero unauthorized outbound traffic, deployment manifests, and 30-day SLA onboarding | Benchmark suite passes under concurrent load, 60%-90% cost reduction verified against baseline, full IP transfer, and client sign-off |
4. Guarantees & Commitments
- 60% to 90% Cost Reduction: Lower monthly cloud API spend for the workloads moved to local models, measured against a baseline agreed in week 1.
- Data Stays on Your Hardware: Local models run without sending prompts or outputs to outside services; only requests you choose to route to Claude leave your network.
- Hardware Independence: Docker containers that run on workstations, on-premises servers or a private cloud.
- 30-Day Operational SLA: Help with model updates, driver issues and performance tuning.
5. Investment & Pricing Quote
- Modular Service Selection & Flexible Engagement: Clients can freely pick and choose their services, either individually or bundled under our comprehensive transformation programs:
- Individual Service Pick (Personal / 1-on-1): $100 USD per service for 5 days of live training + 5 days of dedicated support (10 days total coverage per service). Strictly 1 person only.
- Individual Service Pick (Business / Teams): $200 USD per service for 5 days of live training + 5 days of dedicated support (10 days total coverage per service). Covers up to 20 participants (additional seats at $100 USD per seat).
- Comprehensive Business Training: $2,000 USD for 60 days (30 days live training + 30 days guidance and detailed guides and materials). Includes cohorts up to 20 participants. Extra seats at $100 USD per seat).
- Comprehensive Personal Training: $1,000 USD for 30 days (15 days live training + 15 days guidance and detailed guides and materials). Strictly for 1 person only (private acceleration).
- Global Purchasing Power Parity (PPP) Available for All Service Pricing:
- Tier 1 (Standard / 100%): Individual $100 USD | Business $200 USD | Business 60d $2,000 USD | Personal 30d $1,000 USD (USA, UK, EU, Canada, Australia)
- Tier 2 (Developing Nations / 25% Off): Individual $75 USD | Business $150 USD | Business 60d $1,500 USD | Personal 30d $750 USD (India, Brazil, Mexico, UAE, Poland)
- Tier 3 & 4 (Lower-Middle/Low-Income & Startups / 50% Off): Individual $50 USD | Business $100 USD | Business 60d $1,000 USD | Personal 30d $500 USD
- Tier 5 (Academia & Non-Profits / 75% Off): Individual $25 USD | Business $50 USD | Business 60d $500 USD | Personal 30d $250 USD
- Tier 6 (Crisis-Affected & Under-Resourced Regions): Individual $10 USD | Business $20 USD | Custom Subsidized Relief / Micro-Rates
- Calculate and lock in your exact tier rate live on the Pricing page.
- Payment Schedule:
- Zero upfront advance; billed in 5 equal milestone installments due only after verified instruction and runtime delivery.
6. Summary
- Lower Cloud Token Spend: Cutting recurring API costs by 60%-90% for workloads moved to self-hosted models.
- Strict 1-Month Delivery: 4-week timeline covering hardware sizing, deployment, routing and sign-off.
- Local-First Routing: Routine queries served locally, harder cases escalated to Claude.
- Private Data Handling: Sensitive data processed on your own machines.
- Full IP & Deployment Handover: Container files, benchmark scripts, the ROI calculator and 30-day support.