On-premise AI solutions

What constitutes an on-premise AI solution

On-premise AI is a way of running AI directly on the client's infrastructure. Models, data and tools run locally, and don’t rely on external cloud services.

It’s a secure and flexible platform for model training, RAG applications and fine-tuning. The AI physically stays with you, something especially important in highly competitive industries or where sensitive data are handled.

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Data and traffic under your control

Data consistency and security. Models and data remain physically in the client’s environment. You minimise the risk of data leaks and easily meet regulatory requirements.

Flexibility and scalability. You determine the performance parameters, with the ability to add GPUs, adjust capacity or modify the architecture as required.

Better management and traceability. Development teams have faster access to test data and model versions.

Benefits of on-premise AI for business

Lower operating costs. You don't pay for tokens, API calls or data transfers.

Faster responses and iterations. Local compute lets you iterate, fine-tune and train models more often, with no delays.

Cloud independence. Safeguarded intellectual property, an improved business case and stable expenditures without exposure to provider pricing model changes.

I want on-premise AI