Verdict
Local AI gives you more control over where inference happens, but it adds hardware, setup, maintenance, and model-quality tradeoffs. Cloud AI is usually easier and often more capable, but prompts and files are processed by the provider under that product’s terms and settings. The right choice depends on privacy needs, quality needs, cost, hardware, and workflow.
Comparison guide
Local AI gives you more control over where inference happens, but it adds hardware, setup, maintenance, and model-quality tradeoffs. Cloud AI is usually easier and often more capable, but prompts and files are processed by the provider under that product’s terms and settings. The right choice depends on privacy needs, quality needs, cost, hardware, and workflow.
| Question | Local AI | Cloud AI |
|---|---|---|
| Where does inference happen? | On your machine or private infrastructure if configured locally. | On provider infrastructure. |
| Hardware required | Significant; RAM/VRAM/storage matter. | Minimal local hardware. |
| Setup burden | Higher. | Lower. |
| Model quality | Varies; smaller local models can be weaker. | Often stronger for broad reasoning and multimodal tasks. |
| Privacy control | Potentially stronger, but only if the full workflow stays local. | Depends on provider terms, settings, and product tier. |
| Offline use | Possible after setup for some workflows. | Usually unavailable. |
| Best use | Private drafting, local experiments, offline work, learning, controlled document tests. | Highest-quality general chat, broad research, convenience, cross-device access. |
- you want to keep experimentation on hardware you control;
- you need offline-after-setup workflows;
- you are learning how models, runtimes, and RAG work;
- your documents are sensitive enough that provider upload is unacceptable;
- you can tolerate lower quality or more setup work.
- you need the strongest general model quality;
- you want minimal setup;
- you need image/audio/video or advanced tool features;
- your workflow is already approved for the provider;
- your hardware cannot run useful local models.
Local AI can reduce data exposure, but it is not automatically secure. Cloud AI can be approved in some professional settings, but approval depends on the provider, contract, account tier, and data-handling policy.
| Dimension | ollama | lm-studio |
|---|---|---|
| Public evidence label | Official documentation reviewed, with caveats | Official documentation reviewed, with caveats |
| Local AI Guide test status | Not independently tested by Local AI Guide | Not independently tested by Local AI Guide |
| Compatibility | Configuration-dependent; do not rely on as a guarantee. | Configuration-dependent; do not rely on as a guarantee. |
Methodology notes
- - Use official docs before turning any row into a stronger claim.
- - Keep unsupported fields visible rather than filling them with guesses.