Your AI models locally, on French GPUs
Run Llama 3, Mistral, Qwen or DeepSeek on dedicated GPU infrastructure with Ollama, installed and maintained by DINAO. A private LLM API, OpenAI-compatible — your prompts never leave France.
What is Ollama?
Ollama presents itself as « the easiest way to work with open models ». It allows you to run open-weight language models (Llama, Mistral, Qwen, Gemma, and many others) directly locally, with installation and startup in just a few minutes.
Ollama exposes an OpenAI-compatible API, making it immediately usable by many existing tools (Open WebUI, n8n, Flowise…) and libraries. It handles parallel requests and integrates with development environments (Claude Code, etc.).
Its positioning emphasizes privacy: in local mode, work stays on your machine and operates offline for critical use cases. A cloud option exists for scaling, but the core of the product remains the local execution of open models.
Host Ollama at DINAO
Resource tiers compatible with Ollama prerequisites (minimum 2 cœurs / 8 Go / 12 Go). Hosted in France, fully managed.
- 4 dedicated vCPU
- 8 Go RAM
- 80 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 8 dedicated vCPU
- 16 Go RAM
- 160 GB NVMe
- Daily backups
- Managed & monitored by DINAO
2 hidden tier(s) (insufficient resources for this app) : Découverte, Standard
This application uses AI
The container hosts the application, not the AI engine (which requires dedicated GPUs) : inference is handled externally, with your own provider key. Prioritize a sovereign engine — Mistral AI, NumSpot, Scaleway, or OVHcloud AI Endpoints (France, GDPR) ; an international provider (OpenAI, Anthropic…) only if a specific capability requires it. Inference subscriptions are not included in hosting.
Technical details
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You might be wondering…
Which models can I run?
The entire Ollama catalog: Llama 3, Mistral, Qwen, DeepSeek, Phi, embedding models, and your custom models. The maximum size depends on your tier's VRAM.
Can I connect my existing applications?
Yes. Ollama exposes an OpenAI-compatible API: you simply change the base URL and key, and your tools (chatbots, RAG, scripts) work without rewriting.
Where is the data hosted?
On DINAO's GPU infrastructure in France, in one of the available data centers. Your prompts and inferences do not leave the territory and are not used for any training.
Are technical skills required?
To consume the API, development knowledge is helpful. DINAO manages installation, the GPU, model downloads, and updates. You can also use it via an interface like Open WebUI.
Can I change my plan or GPU?
Yes. You can upgrade at any time to run larger models, and your custom models remain yours — no lock-in.
