← Back to solutionsA private AI server,
Private AI server · managed or on-premise
A private AI server,
configured for your needs.
Initial IA sizes, configures and operates your environment: model, inference engine, private API, security, monitoring and documentation.
30-minute initial conversationResponse within 48 hoursNo obligation
Your data stays within the chosen boundaries.
Initial IA private infrastructure, dedicated cloud or a server installed directly in your environment.
An API ready for your applications.
Your tools, agents and interfaces access the model through a documented, secure endpoint.
A monitored, maintainable environment.
Logging, alerts, updates and recovery procedures are planned from the design stage.
The right scope
When should you choose a private AI server?
This approach becomes relevant when a simple software subscription no longer meets your constraints.
- 01
You handle internal, sensitive or regulated data.
- 02
You have recurring usage and want to control inference costs.
- 03
You need to connect the model to internal tools or databases.
- 04
You want to change models while retaining control of the architecture.
Delivery scopeAn operational system.
An operational system.
Beyond a demonstration.
Every element is selected for your actual use, documented and prepared to evolve.
- 01CPU, GPU, memory and storage sizing✓
- 02Model selection by use case and licence✓
- 03Configured and optimised inference engine✓
- 04Private API, authentication and networking✓
- 05Monitoring, logs and alerts✓
- 06Documentation and knowledge transfer✓
- 07Optional RAG, interface or business agents✓
- 08Optional managed operations✓
MethodFrom business need
From business need
to a working system.
A gradual, observable and reversible transition. You approve the result at every step.
Scope
Use cases, volumes, data, service level and security constraints.
Size
Model and infrastructure selection based on quality, latency and cost.
Install
Configuration, security, load testing and integration with your applications.
Operate
Production launch, monitoring, documentation and continuous improvement.
QuestionsBefore
Before
you get started.
01Does the server have to be installed on our premises?+
No. We can operate it on Initial IA's private infrastructure, deploy it in your cloud or install it on your own servers.
02Which model do you use?+
The model depends on the use case. Qwen, Mistral, Gemma, Granite or a specialist model can be evaluated for licence, expected quality, language and cost.
03Can we use an API compatible with our existing tools?+
Yes. The environment can expose a private API designed for straightforward integration with your existing applications and agents.
04What happens if we want to change the model?+
The architecture is designed to remain modular. We document dependencies and prepare a migration procedure when the need justifies it.
Initial conversation · 30 minutesLet's discuss your
Let's discuss your
actual constraint.
Describe the context. We will respond with practical options and a suitable next step.
Book an assessment ↗Video call · 30 minutes · No obligation