Local AI
The model files are stored on your SSD. Your computer's processor and graphics card do all the math. Your prompts and documents never leave your computer.
A simple breakdown of the trade-offs between running models on your own computer versus relying on remote cloud services.
The main difference between local and cloud AI comes down to where the computation happens and where your data travels.
The model files are stored on your SSD. Your computer's processor and graphics card do all the math. Your prompts and documents never leave your computer.
The models run in massive data centers. When you ask a question, it travels over the web, gets processed by servers, and the answer is sent back to your screen.
Here is how both approaches compare across the key aspects that matter most:
| Factor | Local AI | Cloud AI |
|---|---|---|
| Privacy & Data | 100% private. Files never leave your local drive. | Prompts are sent to third-party servers. |
| Internet Access | Works fully offline once downloaded. | Requires a constant internet connection. |
| Recurring Cost | Free (uses your existing hardware). | Often requires monthly subscriptions or API tokens. |
| Hardware Demands | Requires sufficient RAM and a good GPU/VRAM. | Runs on any device (phone, budget laptop, tablet). |
| Model Power | Limited by the memory size of your computer. | Access to frontier, cutting-edge giant models. |
| Usage Limits | No rate limits or question limits. | Providers may cap requests per hour/day. |
Running models locally is ideal for situations where confidentiality and independence are your top priorities:
Cloud AI remains unbeatable for raw reasoning power and convenience:
You do not have to choose just one. Many people use Cloud AI for broad, highly complex questions and keep Local AI installed on their PC for sensitive files, offline work, and day-to-day writing tasks.