I will deploy open source llm on runpod or your GPU server with fastapi

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inferonlabs
I
inferonlabs
Inferon Labs

About this gig

You have a GPU server (RunPod, Vast.ai, AWS, or your own) I'll get an open-source LLM running on it, production-ready, in days.


What you get:

- The RIGHT model for your hardware: Llama 3.1, Qwen 2.5, or Mistral, quantized (4-bit AWQ/GPTQ/GGUF) to fit your VRAM without wrecking answer quality

- Fast inference: vLLM or Ollama, configured for your latency and throughput needs

- Streaming FastAPI endpoint (SSE or WebSocket) your app can call like the OpenAI API, but yours

- Restartable with a single script + README with every command rebuild the server from scratch in minutes

- Your data never leaves your infrastructure. Zero per-token API costs, ever.


Why me: I've deployed quantized open-source LLMs on RunPod GPU infrastructure with streaming FastAPI endpoints including SLM training and deployment pipelines. 8+ years in software & data engineering. Python, vLLM, Ollama, Docker, AWS.


Before ordering, message me with your GPU spec (or your use case if you haven't rented yet I'll recommend the cheapest GPU that fits). It takes 2 minutes and guarantees the right package.

Get to know Inferon Labs

Inferon Labs

AI and LLM Deployment Engineer, RAG Chatbots, FastAPI Backends

  • FromIndia
  • Member sinceJun 2026
  • Avg. response time1 hour
  • Languages

    English
I deploy open-source LLMs to production — quantized models on GPU infra (RunPod, AWS), streaming FastAPI endpoints, and RAG chatbots grounded in your documents. What I deliver: - RAG chatbots that answer from YOUR docs — not hallucinations - LLM deployment & quantization (Llama, Qwen, Mistral) - FastAPI backends, automation, document data extraction - WhatsApp & chat integrations Every delivery includes a README and reproducible setup — no lock-in. 8+ yrs in software & data engineering. Python, FastAPI, LangChain, PostgreSQL, Docker, AWS.

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