Private Offline On-device

Run AI on your own hardware

Straight answers about localized AI, local LLMs, edge inference, and offline setups — without sending your data to the cloud.

Edge AI

What is edge AI? Edge AI processes data on or near the device that collects it — reducing cloud dependence, latency, and bandwidth.

Local LLM

How do you run a local LLM? Install Ollama, pull a model, and chat — the fastest path to running a local LLM on Mac, Windows, or Linux.
What is a local LLM? A local LLM is a large language model you download and run on your own hardware instead of using ChatGPT or Claude in the browser.
What is the best local LLM for coding? The best local coding LLM depends on your hardware — but Qwen, DeepSeek-Coder, and Llama variants are strong starting points in 2026.
What is the best local LLM? The best local LLM for most people in 2026 is a mid-size open model (7B–14B) via Ollama — pick by RAM and use case.

Localized AI

What is localized AI? Localized AI runs models on your phone, laptop, or desktop instead of the cloud — for privacy, offline use, and lower latency.

Offline AI

What is offline AI? Offline AI works without an internet connection after models are downloaded — useful for travel, air-gapped networks, and privacy.

On-device AI

What is on-device AI? On-device AI runs models inside your phone, tablet, or PC — enabling private, low-latency features without constant cloud calls.

On-premise AI

What is on-premise AI? On-premise AI runs inside your organization's own data center or office — not on a vendor's shared cloud.

Private AI

What is private AI? Private AI keeps your data off third-party servers — usually by running models locally or on infrastructure you control.