At MiT Software we deploy Meta Llama on your company's infrastructure with fully internal processing, zero dependency on external APIs and maximum data sovereignty. Self-hosted Llama 3.3 70B on EU cloud or on-premise is the solution for organisations with extreme confidentiality requirements that cannot transfer data outside their environment. Native GDPR compliance and documented EU AI Act compliance. Note: we work exclusively with EU-compatible Llama versions.
Custom Meta Llama Integration for Businesses
Meta Llama is the reference open-source model for organisations needing to deploy AI on their own infrastructure without relying on external providers. Unlike Claude, GPT or Gemini — which require sending data to external APIs — Llama runs entirely within your infrastructure, under your exclusive control, with no data leaving your environment. For sectors with extreme confidentiality requirements — defence, investment banking, public healthcare, corporate intelligence — this characteristic isn't optional, it's a requirement. A critical fact for European companies: Llama 4 has licensing restrictions that explicitly prohibit its use and distribution in the European Union. At MiT Software we work exclusively with EU-compatible versions — currently Llama 3.3 70B — and verify licence compatibility before each project. The model offers frontier performance for most enterprise use cases and can be deployed on EU cloud (AWS Frankfurt, Azure West Europe, OVHcloud) or on-premise infrastructure with the appropriate inference stack.
We analyse your performance requirements, inference volume and budget to size the optimal GPU infrastructure. We help you decide between EU cloud (more flexible) and on-premise (lower long-term cost) for your specific case.
We verify the licence compatibility of each Llama version for your use case in the EU. We currently recommend Llama 3.3 70B as the most capable EU-compatible licensed option. Llama 4 is prohibited in the EU due to licensing restrictions.
We deploy the inference server (vLLM, Ollama or TGI depending on your case), configure the internal APIs exposing the model, implement authentication and access control, and verify performance in your staging environment.
We prepare regulatory documentation adapted to your role as a self-hosted AI system operator: simplified DPIA, EU AI Act technical file, AI system registration and human oversight procedures.
If your use case justifies it, we run the Llama fine-tuning process with your own data: dataset preparation, supervised training, quality evaluation and deployment of the custom version into production.
We monitor model performance in production, manage updates to new EU-compatible Llama versions and keep the GPU infrastructure operational under agreed SLAs.
Meta Llama 3.3 70B is the most capable open-source model available for deployment on your own infrastructure. No external API, no per-token cost, no data transfer outside your environment. We deploy Llama on your private EU cloud (AWS Frankfurt, Azure West Europe, OVHcloud) or on-premise, with frontier performance and structurally lower cost than any SaaS provider.
For organisations that cannot afford any data leaving their infrastructure — defence, intelligence, investment banking, public healthcare — self-hosted Llama 3.3 70B is the only viable option. Important note: Llama 4 has licensing restrictions that prohibit its use in the EU. We work exclusively with EU-compatible versions.


We deploy Llama 3.3 70B on your infrastructure: AWS Bedrock Frankfurt, Azure West Europe, OVHcloud Paris or on-premise servers. We configure the necessary GPU infrastructure, the inference stack (vLLM, Ollama, TGI) and the internal APIs that expose the model to your applications.


We connect your Llama deployment with Salesforce, SAP, Microsoft 365, SharePoint and internal systems via private APIs. All traffic stays within your corporate network. Process automation, document analysis and intelligent assistants with zero data leaving your infrastructure.


We train custom versions of Llama with your company's specific data: technical documentation, ticket history, contracts, sector terminology. A model fine-tuned on your data systematically outperforms general-purpose models on your specific use cases.


With self-hosted Llama there is no transfer of data to third parties. The model runs on your infrastructure, under your exclusive control. The DPIA assessment under GDPR Art.35 is as simple as possible: no external processor, no international transfer, no risk of access by third-country authorities.


By deploying Llama on your own infrastructure, your company simultaneously acts as provider and operator of the AI system under the EU AI Act. This gives you full control over the technical documentation, human oversight mechanisms and risk management procedures required by the regulation.


We optimise the inference stack to maximise Llama's performance on your hardware: quantisation, dynamic batching, KV-cache memory management and inference server configuration. We reduce per-inference cost and improve response times for your specific use cases.
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