I will deploy a private local llm stack with docker


About this gig
Need AI capabilities without sending every prompt or document to a third-party service?
I am a French AI and Python engineer. I design and deploy private LLM stacks for local, on-premise, hybrid and cloud environments. The goal is not simply to install a few containers; it is to give you a reliable system that fits your hardware, privacy needs and expected workload.
Your stack can include:
- OpenWebUI, Ollama or vLLM
- Dockerized services and OpenAI-compatible APIs
- Private RAG and vector search
- PostgreSQL or pgvector
- Authentication, HTTPS and reverse proxy setup
- LiteLLM routing between local and cloud models
- Usage tracking, team budgets and cost visibility
I will help you choose models that make sense for your CPU, RAM or GPU instead of promising unrealistic performance. Delivery includes the agreed configuration, documentation and a clear handover.
Message me before ordering with your hardware and user count so I can confirm the best architecture and package.
Get to know Jeancam L.
- FromFrance
- Member sinceAug 2021
- Avg. response time1 hour
- Last delivery3 years
Languages
French, English
FAQ
Can everything run locally?
Yes, when the available hardware supports the chosen model and workload. I will set realistic expectations before we begin.
Can everything run locally?
Yes, when the available hardware supports the chosen model and workload. I will set realistic expectations before we begin.
Can you combine local and cloud models?
Yes. A hybrid stack can keep sensitive tasks local while using cloud models only when additional capability is needed.
Do you provide the server or GPU?
No. You provide the target machine or cloud account; I configure and deploy the agreed stack.
Can you add private document search?
Yes. RAG, citations and vector search can be included in the Standard or Premium scope.
