I will deploy open llms on your GPU server with vllm, docker and ollama
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Run open LLMs on YOUR infrastructure no per-token API bills, full data privacy.
I deploy production-grade LLM serving on your GPU VPS or on-prem server:
- One-command deployment with Ollama, or high-throughput serving with vLLM
- Dockerized, reproducible setups with restart policies
- Quantized models (AWQ/GPTQ) tuned to your VRAM budget
- OpenAI-compatible API endpoint with access control
- Optional RAG wiring so the model answers from your documents
I am a PhD AI engineer who has fine-tuned and deployed open-weight LLMs in production.
Basic: single open LLM deployed via Ollama on your server.
Standard: vLLM + Docker + secured API endpoint, load-tested.
Premium: multi-model setup, quantization tuning, monitoring dashboard and complete docs.
You provide the server (any GPU VPS works); I handle the rest.
Expertise:
Software development
Programming language:
Python
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FAQ
What server do I need?
Any Linux VPS with an NVIDIA GPU (RunPod, Vast.ai, AWS, or your own hardware). 16GB+ VRAM is ideal; tell me your specs and I will pick the right model + quantization.
Which models can you deploy?
Llama 4, Qwen 3, Mistral Large, DeepSeek V4, Phi-4, Gemma and other open models. If you need a fine-tuned model deployed, see my fine-tuning gig — I do both.
Is my data private?
Completely — the model runs on your server. Nothing is sent to third-party APIs.
Do you provide ongoing maintenance?
Premium includes documentation so your team can manage it. Maintenance retainers available — message me.
