Run useful AI on compute you already own.

Self-hosted AI lets a small business control private data, cut repeat API costs and turn spare machines into narrow AI workers.

Works with Meta Llama, Qwen, Mistral, DeepSeek.

Where self-hosting makes sense.

It fits when the work is repeatable, privacy matters, or you already own usable hardware. A 16GB computer can support compact models for focused jobs; GPU workstations handle larger agents and heavier document work.

  • Private docs

    Search SOPs, contracts, policies, notes, and proposals without sending every query to a public API.

  • Repeat tasks

    Run the same summarization, classification, routing, or drafting job many times at predictable cost.

  • Internal agents

    Build a quiet worker for staff, not a customer-facing system that needs enterprise uptime.

  • Edge workflows

    Run small models near the data source when internet access, latency, or control matters.

Vivid green rolling hills close up under a clear blue sky.

Start with the machine, then choose the model.

The selector estimates whether a compact model can run on the compute you already own. It is a planning tool for scoping the first workflow.

Intake survey
1. What should AI handle first?
2. Where should it run?
3. Daily volume
4. Available compute
Planning result

Llama 3.1 8B

Local support bots, RAG, private document work

Run path
Hybrid setup
Quantization
Q4
Memory estimate
7.2GB
Selected compute
Old 16GB computer
Runs, with normal limits
How to use this result

Use MLX or Ollama and close memory-heavy apps before running long context windows.

This is a planning estimate, not a hardware guarantee or a production recommendation.

  • Cloud AI

    We host the model, runtime and monitoring.

    See cloud AI
  • Model selector

    Estimate the model and hosting path for one workflow.

    Open the model selector
  • Anova AI Labs

    Research questions for smaller, cheaper business AI.

    Visit Anova AI Labs

Have an old computer sitting around?

Send the specs and the workflow. We will tell you if it is useful, what model class fits, and when cloud makes more sense.