Local AI runtime trade-offs for model hosting, desktop use, and private document question-answering.
Every cell is taken from the same structured product profile used on software pages. Unknown values remain visible as Not confirmed.
| Dimension | Ollama | LM Studio | PrivateGPT |
|---|---|---|---|
| Architecture | Hybrid | Hybrid | Self-hostable |
| Processing | Hybrid | Hybrid | Self-hosted |
| Storage | User-selected | User-selected | Self-hosted |
| Account requirements | Optional account | Optional account | No account |
| Tracking | First-party analytics | None detected | Not confirmed |
| Source availability | Open source | Closed source | Open source |
| Offline support | Yes | Yes | Yes |
| Encryption | E2EE: No; at rest: Not confirmed | E2EE: No; at rest: Not confirmed | E2EE: No; at rest: Not confirmed |
| Self-hosting | Yes | Partial | Yes |
| AI usage | Local AI | Local AI | Self-hosted AI |
| Pricing | Freemium — Local model use is free and unlimited; cloud plans include Free, Pro at $20 per month or $200 per year, and Max at $100 per month, with Team listed as coming soon. | Freemium — The desktop application and local inference are free; optional Bionic cloud inference and related cloud services use separate paid pricing and credits. | Open core — The PrivateGPT codebase is open source; the maintainers offer separate commercial enterprise infrastructure and support. |
| Platforms | Desktop, CLI | Desktop | Self-hosted, CLI |
| Review status | Listed · Last reviewed Not yet reviewed | Listed · Last reviewed Not yet reviewed | Listed · Last reviewed Not yet reviewed |
These notes describe when one option may fit a situation better. They are not overall rankings and do not replace reading full privacy profiles.
Better for lightweight local model serving
Ollama
Ollama is commonly used as a simple local model host and API for tooling that needs on-machine inference without a full desktop suite.
View privacy profileBetter for desktop model browsing and chat
LM Studio
LM Studio is oriented toward downloading, managing, and chatting with models in a desktop app when you want a guided local AI interface.
View privacy profileBetter for private document question-answering workflows
PrivateGPT
PrivateGPT focuses on asking questions over documents with a privacy-minded local or self-controlled pipeline rather than general-purpose model hosting alone.
View privacy profileBetter when self-hosting document AI is the goal
PrivateGPT
If your primary job is private RAG-style document work rather than general model management, PrivateGPT’s workflow is a closer match than a pure model runner.
View privacy profileThese tools help keep model inference under hardware you control instead of requiring a cloud chat vendor for core use. Ollama is a popular local model runner, LM Studio focuses on a desktop experience for downloading and chatting with models, and PrivateGPT targets private document Q&A workflows.
“Local AI” is not a single privacy guarantee. Model downloads, optional cloud features, telemetry, and document indexing still matter. Use this page to compare architectures and confirm unknown fields on each profile.
A local model runner and API for downloading, managing, and running large language models on a user's device.
A desktop application for discovering, downloading, running, chatting with, and serving AI models locally, with optional cloud features.
An open-source API layer for building private and self-hosted AI applications with local models, retrieval, tools, and document ingestion.
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