Ollama

Run open-weight models locally with a simple CLI/API. Maximum data control; you operate hardware and updates.

MIT · https://ollama.com

AI & language models

Ollama self-hosted

Hosting: Self-hosted Reviewed

Models and prompts stay on your machines.

  • Fair 4.7
  • Easy 2.3
  • Secure 4.0
FES Scores 9
Pillar Criterion Score Evidence
Easy Day-one UX Can non-technical staff use it without a project? 3 Ollama offers pre-configured model downloads with a single command, reducing setup time. Source
Easy Operate Admin burden, updates, backups and language coverage. 2 Ollama requires manual model management and updates, adding operational overhead. Source
Easy Integrate SSO, mail/CalDAV, APIs and common NGO connectors. 2 Ollama supports API integration but lacks built-in enterprise integration tools. Source
Fair Lock-in / exit Can you leave with your data in open formats, at known cost? 5 Rule baseline (rubric_v1): self-host + open-source path supports exit with your data. Source
Fair Sovereignty EU legal entity, EU hosting, and exposure to extra-EU lawful access? 4 Rule baseline (rubric_v1): non-EU vendor; self-host still lets you pick EU infra — verify update/support exposure. Source
Fair Openness Open source or open standards? Are independent implementations possible? 5 Rule baseline (rubric_v1): license classified as open-source family. Source
Secure IT security Authentication, encryption, patch cadence and independent audit. 3 Ollama runs models locally, reducing exposure to external threats compared to cloud services. Source
Secure User security 2FA, roles, phishing resistance and safe defaults. 4 Ollama operates entirely on-premises, giving users full control over data and access. Source
Secure Personal data GDPR fit: DPA, residency, sub-processors and Schrems II posture. 5 Ollama processes data locally, ensuring no personal data is sent to external servers. Source

Indicative scores from public information — how we score.

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