# Local vs cloud AI: which should you choose? > Privacy, cost, and capability – a comparison of running models on your own hardware versus cloud APIs. *Source: https://velstech.net/local-vs-cloud-ai · Updated: 2026-09-04 · Category: AI · Tags: Privacy, Hardware* *Markdown version of [Local vs cloud AI: which should you choose?](https://velstech.net/local-vs-cloud-ai). [Read the full guide with interactive tools](https://velstech.net/local-vs-cloud-ai).* *Also as Markdown: [Hindi](https://velstech.net/local-vs-cloud-ai.hi.md) · [Tamil](https://velstech.net/local-vs-cloud-ai.ta.md).* --- When you use ChatGPT, your prompt is sent to a data center somewhere. But these days, you can also run models entirely on your own computer. Both approaches work – the question is which one fits *your* use case. Let's break it down honestly. ## What "local" actually means Running AI locally means the model lives on your machine – a laptop, a desktop, or a home server. Tools like Ollama, LM Studio, and llama.cpp make this surprisingly easy. You download a model once, then chat with it offline, forever, for free. The catch? Your hardware has to be powerful enough. Models are measured in billions of parameters (like 7B, 13B, 70B), and bigger models need more RAM and more compute. A phone or old laptop might only comfortably run smaller models (7B and under). ## Cloud: the default choice Cloud AI (ChatGPT, Claude, Gemini, and developer APIs) runs on massive clusters owned by big companies. You get: - The best models available – the frontier models are too big to run at home. - No hardware requirements – any device with a browser works. - Constant improvements – you always get the latest version. But you pay – in money (subscriptions or per-token API fees), in privacy (your prompts go to a third party), and in availability (you need an internet connection). ## Comparing the four things that matter ``` Local Cloud ───────────────────────────────────────────────────── Privacy Best – nothing leaves Prompts sent to provider your machine Cost Free after hardware Subscription or per-use fees Quality 7B–30B models typical Frontier models, best quality Offline Works fully offline Requires internet Setup Needs capable hardware Zero setup ``` ## Who should go local - Privacy-conscious users – if you work with personal or sensitive text and don't want it on someone's server. - Offline needs – travel, remote work, or places with poor connectivity. - Hobbyists and tinkerers – local AI is fun to experiment with and learn from. - Budget-conscious – heavy everyday use of a paid chat tool adds up; local is a fixed cost. ## Who should stay on cloud - Power users – for writing, coding, and complex reasoning, cloud models are meaningfully smarter. - No-capable-hardware users – a typical laptop can run local models but not the really good ones. - Business/API needs – integrating a hosted API is simpler and more reliable than maintaining your own inference server. ## The hybrid approach You don't have to pick just one. A smart setup many people end up with: - Local for quick, private, or offline questions – summarising, rewriting, brainstorming. - Cloud for hard problems – long-form writing, complex code, deep reasoning. Local tools can even be wired to fall back to cloud for tricky prompts, or vice versa. ## Getting started locally If you want to try it, start small. Install **Ollama** and grab a 7B model: ``` # Install Ollama (macOS/Linux/Windows available) curl -fsSL https://ollama.com/install.sh | sh # Pull a good small model ollama pull llama3.2 # Chat with it ollama run llama3.2 ``` Your computer's RAM matters more than its GPU for most models. As a rough rule: 8 GB RAM → 7B models comfortably; 16 GB → 8–13B models; 32 GB+ → 30B class. 🔧 Try the VelsTech AI Tools [LLM VRAM Calculator](https://velstech.net/llm-vram-calculator) – does a model fit your GPU? [GPU AI Performance Calculator](https://velstech.net/gpu-ai-calculator) – how fast will it run? [Browse all tools →](https://velstech.net/tools) ## Bottom line Start with cloud – it's the best experience with zero setup. The moment you care about privacy, offline use, or cost for high-volume work, install a local tool and keep the two side by side. It's not either/or; it's a toolkit. ## FAQ **Is running AI locally actually free?** After the hardware, yes – you download a model once and chat with it offline forever, with no subscription or per-token fees. Cloud AI costs money every time you use it. **Can I run something like ChatGPT on my own computer?** You can run open models locally with tools like Ollama, LM Studio, and llama.cpp – typically 7B to 30B quality on capable hardware. The frontier models are too big to run at home, so cloud still wins on raw quality. **Is local AI more private than ChatGPT?** Yes – a local model never sends your prompts anywhere; everything stays on your machine. Cloud AI sends your prompts to a third party's servers, which is the main reason privacy-conscious users go local. **Do I need a powerful PC for local AI?** You need enough RAM/VRAM for the model size – a phone or old laptop handles small models (7B and under), while bigger models need a desktop GPU. If you don't want to think about hardware, cloud has zero setup. --- *VelsTech – technology explained for everyone. Original: https://velstech.net/local-vs-cloud-ai*