On-premises AI deployment: your private artificial intelligence, on your servers
More and more organisations want to harness the power of generative AI without entrusting their most sensitive data to external cloud services. Setting up an AI on-premise (on-premises) meets this need exactly: you can run high-performance language models on your own infrastructure or on a server we provide, without any data leaving your organisation.
At iterates, development agency As a Brussels-based IT and consultancy firm, we install, configure and maintain these systems for both private companies and public bodies, regardless of their size.
What is on-premises AI?
A On-premises AI involves hosting and running an artificial intelligence model directly on infrastructure that you control, rather than calling an external provider’s API. In practical terms, the model, your data and your processing operations remain within your organisation. In the context of AI, this is the equivalent of choosing between a service hosted by a third party and a solution that you control from start to finish.
The key benefits of on-premises AI
Data protection and privacy
Your documents, communications and business data never pass through an external server. No information is sent to a third-party provider or used to train public models. For sectors handling sensitive data – such as healthcare, finance, the legal sector and the public sector – this is often a non-negotiable requirement.
Governance and compliance
Because you remain in complete control, you can determine who has access to what, where data is stored and how it is logged. This makes it much easier for you to comply with the GDPR and digital sovereignty requirements, and provides you with clear answers in the event of an audit.
Full autonomy
Once installed, your AI operates independently of any external service. There is no reliance on a provider’s availability, no terms of use or pricing that change overnight, and no models withdrawn without notice. You remain in control of your tool.
A one-off fee, with no per-user charges
Unlike SaaS subscriptions billed per user or per query, on-premises AI involves a one-off investment (installation and, if required, hardware). You can then use it for 10 or 500 staff without seeing your bill skyrocket. The cost becomes predictable and pays for itself through use.
How we go about it: the technical details
There are two options, depending on your circumstances:
- Installation on your existing infrastructure. If you already have suitable servers (with sufficient computing power and, ideally, GPUs), we will deploy the model directly onto them.
- Supply of a turnkey server. If your infrastructure is not capable of handling AI, we will supply and configure a server tailored to your needs and data volume.
The field of AI is evolving very rapidly. We provide ongoing support: updating models, upgrading to a newer or more powerful version, and replacing a model with one better suited to your needs where appropriate. You benefit from the sector’s progress without having to deal with the technical complexity.
Our step-by-step process
Booking an appointment
An initial free consultation to understand your situation.
Needs analysis
Your use cases, your volumes, your security requirements and your existing infrastructure.
Technical audit
Assessment of your hardware and recommendation of the appropriate model and architecture.
Installation and deployment
Installation on your servers or on the server provided, configuration and testing.
Maintenance and monitoring
Updates, model replacements and long-term support.
Which open-source models do we use?
We rely on the best open-source (open weights) models on the market, whose open and permissive licences allow for commercial deployment on your own infrastructure. Depending on your needs – text generation, document analysis, code assistance, conversational agents, multimodal applications – we select the most appropriate model, for example:
French publisher; templates published under the Apache 2.0 licence. A natural choice for a European sovereignty initiative.
Models released under the MIT licence, renowned for their excellent cost-performance ratio and robust reasoning capabilities.
This is a very comprehensive range, available in a wide variety of sizes (from small, lightweight models to large MoE models) and offering extensive multilingual support, making it ideal for precisely matching the power output to your equipment.
Models recognised for their code, agent tasks and handling of very long contexts.
Tell us about your project
One exchange, a thousand possibilities.
Describe your vision to us using this form: we'll analyse your request and get back to you within 24 hours with personalised advice and a concrete action plan.
We have the team and the resources to help you with your projects. Give us the details in this form and we'll get back to you as soon as possible to discuss them together.
Your project, our mission
At iterates, we work in partnership with your teams to understand your needs, constraints and strategic objectives.
Who is it for?
This solution is aimed at any organisation keen to retain control over its data:
Sovereignty and confidentiality of citizens’ data.
Patient data and strict regulatory requirements.
Professional confidentiality and the regulatory framework.
An in-house AI assistant, with no per-user cost, that’s getting out of hand.
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It depends on the model and the volume of use. Some lightweight models run on a modest server; others, which are more powerful, require one or more GPUs. The audit determines the appropriate configuration and, if necessary, we supply the server.
The best open-source models now rival proprietary models in many tasks. For most business applications (content creation, summarisation, document analysis, support and coding), the gap is small, or even non-existent, and is more than offset by the benefits in terms of data privacy and cost control
No. The model runs on your system; your data is neither sent to a third party nor used for external training.
Yes. We can integrate the model into your applications, document repositories and business workflows, for example via agents or augmented search of your own documents.
Launch your on-premises AI project with iterates
Are you looking for a reliable partner to develop your On-premises AI? iterates combines technical expertise, business acumen and personalised support to bring your projects to life.