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Avanturin
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After assessment

Deployment of private and local LLMs

A model on your server or in a closed environment.

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What it is

We choose an open model and hardware, deploy the service and honestly compare quality with cloud options.

Typical problem

The data cannot go to an external provider, but you still need AI.

What you get

  • Choice of model and server
  • Deployment and API
  • Comparison of quality and speed

Who it is for

  • Medium-sized businesses
  • Large companies
  • Individuals

Technologies

  • Ollama
  • vLLM

Examples. The stack is chosen for the task.

Related services

GPU server setupGraphics cards, drivers and environment for AI tasks.Local LLM infrastructureA model service with queues and load control.Corporate AI assistantsAn internal helper for employees that respects roles and access.Enterprise AI platformsA shared foundation for a company's AI projects.AI AdministratorCalls, SMS, bookings and deposits in one system with a website and an app.AI chatbotsA bot that understands free text and answers from your materials.

Related solutions

Private AI WorkspaceAI in a controlled environment.

Questions

Will the AI make mistakes?

Yes, any model sometimes gets things wrong. That is why we measure quality on your examples, show the sources of each answer and pass disputed cases to a person.

Where does our data go?

This is decided before work starts: an external API with suitable terms, a private cloud or a model on your own server. The choice depends on how sensitive the data is.

Which model do you use?

We choose for the task and budget, and build the architecture so the provider can be changed.

Tell us what needs to be built

We will tell you whether it can be done, how and roughly for how much. No obligation.

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