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I will deploy local llms on your server with smart live model routing
Sapan S
About this gig
Are you concerned about data privacy, rising token costs, or sending sensitive data to public cloud AI APIs?
I will deploy high-performance local LLMs (Qwen 2.5 7B/14B, Llama 3.2, Mistral) directly on your local GPU hardware or private cloud instance (AWS VPC, Azure, GCP).
Key Features & Benefits:
- Absolute Data Safety: 95%+ of sensitive requests run behind your firewall with automatic PII scrubbing on edge cases.
- Zero Base Token Costs: Shift daily operational overhead to local infrastructure.
- Smart Model Routing: Intelligently switch between local small models and high-powered live APIs (like GPT/Claude) only when complex reasoning is required.
- Production-Ready Pipeline: Full orchestration setup with low latency, proper GPU memory allocation, and API endpoint integration.
What I Need to Get Started:
- SSH / Admin access to your target machine or cloud server.
- Details on your hardware specs (GPU/VRAM/RAM).
- Target use-case and expected query volume.
Keep your enterprise data completely private while optimizing your AI operational expenses. Message me before ordering to evaluate your hardware requirements!
Get to know Sapan S
Sapan S
Technical Lead
- FromIndia
- Member sinceJul 2026
Languages
Punjabi, English, Hindi
I am a results-driven Software Developer and Technical Lead with over 3 years of experience building scalable web applications, data pipelines, and cloud analytics solutions. I have proven expertise in Power BI, Azure Synapse, C# Microservices, and AI integration using Prompt Engineering and MCP. I am adept at leading engineering teams and architecting end-to-end solutions to drive technical excellence.
FAQ
What hardware do I need to run local models like Qwen or Llama?
Minimum requirements depend on the model size. For 7B to 14B parameter quantized models, an NVIDIA GPU with at least 12GB to 24GB VRAM (or a private cloud instance like AWS g4dn/g5) is recommended for fast execution.
How does the Smart Model Router handle PII safety?
The Enterprise setup inspects incoming queries locally. Any data routed to external fallback APIs passes through a regex and NER-based PII scrubbing module to sanitize names, emails, IPs, and key sensitive identifiers before transmission.
