A practical introduction
Local AI, on hardware you control
Local AI runs a model on your computer or another environment you control, rather than sending every task to a third-party model service.
What local AI changes
Running a model locally can give you more control over data handling, recurring usage costs and availability. It also makes you responsible for choosing suitable software, maintaining the environment and protecting the device.
Where it helps
- Private or offline workflows
- Frequent experimentation
- Predictable use without per-prompt billing
- Control over model and runtime versions
Where cloud may fit better
- Very large or demanding models
- Rapid scaling across many users
- Managed availability requirements
- Tasks needing a specific hosted capability
Five hardware factors that matter
RAM
System memory holds the operating system, applications and—depending on the setup—some or all of the model.
VRAM or unified memory
Available graphics memory strongly affects how much of a model can be accelerated on compatible hardware.
CPU and GPU
A capable GPU can improve generation speed, while CPU-only operation may still be useful for smaller workloads.
Storage
Model files can consume significant disk space. Fast storage helps loading, but does not replace adequate memory.
Operating system
Runtime and hardware acceleration support differ across Windows, macOS and Linux.
Model size
Parameter count, quantization and context length all affect memory use and practical performance.
Privacy boundaries
Local does not automatically mean secure
A local model may keep processing on the device, but downloaded software, plugins, telemetry, shared accounts, malware, backups and network access can still expose information. Verify the complete data path before using sensitive material.
Begin without overload
Check, choose, then install one tool
01
Check
Record the exact computer, available RAM, GPU or chip, graphics memory and free storage.
02
Choose
Select a conservative model class that leaves room for the operating system and context.
03
Install
Use a reputable runtime, test with non-sensitive material, and confirm network and storage behavior.
Start with the machine in front of you
The Hardware Checker will turn the specifications into a clearer starting point.
Questions
Local AI FAQ
Does local AI work without the internet?
Some installed models and runtimes can work offline after download. Confirm the behavior of the specific application and any connected tools.
Do I need a dedicated graphics card?
Not always. Smaller models may run on a CPU or unified-memory system, although speed and model capacity vary.
Is local AI always private?
No. Privacy depends on the entire application, its settings, connected services, device security and operating practices.
Should I upgrade before trying local AI?
Not necessarily. Check the hardware you already own and begin with a suitable smaller model before considering an upgrade.
Your AI. Your computer. Your data.