Design, implementation and maintenance of on-premise AI infrastructure for open source models. Full data control, no monthly fees, no vendor lock-in.
Your data never leaves your infrastructure. Ideal for finance, healthcare, legal firms and public institutions handling sensitive information.
One-time infrastructure investment. No per-user subscriptions, no per-token costs. Just electricity and maintenance.
Use any open source model — Llama, DeepSeek, Mistral, Qwen, Phi, Gemma. Switch whenever you want, no contractual limitations.
The most popular open source model family. Llama 4 Scout, Maverick and Behemoth cover ranges from lightweight to the most powerful models. Excellent for fine-tuning on specific domains.
Best for: General AI tasks, fine-tuning, employee assistants, document processing
Parameters: 8B – 2T | Context: 128K – 1M tokens | License: Llama 4 Community
Models that revolutionized the AI industry. DeepSeek R1 offers step-by-step reasoning comparable to o3, while V3 provides excellent general performance at extremely low cost.
Best for: Logical reasoning, mathematics, programming, cost-effective operations
Parameters: 7B – 671B | Context: 128K | License: MIT
Leading European open source models based in France. Mistral Large competes with GPT-4, while Mistral Small is optimized for speed. Fully GDPR compliant.
Best for: GDPR-sensitive applications, multilingual apps, EU companies
Parameters: 7B – 123B | Context: 32K – 128K | License: Apache 2.0 / Mistral Research
Qwen 3 excels at long context understanding, multilingual tasks and tool-use capabilities. Some models have up to 1M token context windows.
Best for: Long document processing, tool-use agents, multilingual tasks
Parameters: 0.5B – 235B | Context: 32K – 1M | License: Apache 2.0 / Qwen
Microsoft's family of small but powerful models. Phi-4 and Phi-4-mini offer impressive performance for their size, ideal for edge devices and local hosting.
Best for: Edge deployment, mobile devices, local hosting on modest hardware
Parameters: 3.8B – 14B | Context: 128K | License: MIT
Google's open source model family based on Gemini technology. Gemma 3 offers an excellent balance of size and performance with multilingual support.
Best for: Multilingual applications, fine-tuning, research and development
Parameters: 2B – 27B | Context: 8K – 128K | License: Gemma
Hardware configuration design (GPU servers, RAM, storage) tailored to your needs. From single-GPU setups to multi-node clusters with NVIDIA A100/H100, AMD MI300X or Apple Silicon.
Installation and configuration of inference engines (vLLM, llama.cpp, Ollama, TensorRT-LLM). API gateway, load balancing and monitoring setup.
Model customization on your data using LoRA, QLoRA or full fine-tuning. Domain adaptation and terminology customization.
Connecting AI models to your CRM, ERP, internal tools and databases via standardized APIs and webhooks.
Performance monitoring, resource consumption tracking and response quality assessment. Continuous optimization for maximum efficiency.
Security implementation — data encryption, authentication, audit logging. Adaptation for GDPR, PCI DSS and industry-specific regulations.
| Subscription (ChatGPT/Claude) | Open Source On-Prem | |
|---|---|---|
| Monthly cost per user | $20 – $200 | $0 |
| Data privacy | Depends on provider | Full control |
| Model ownership | None | Full ownership |
| Customization | Limited | Full fine-tuning |
| Vendor dependency | Complete | Independent |
| Availability | Depends on provider servers | 100% (local) |
We design and implement your on-premise AI infrastructure. One-time investment, full control.
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