🤖 Do you want to use artificial intelligence on your computer without subscriptions and without sending your data to the internet? The truth is that you can — and perhaps more easily than you imagine.
💡 You don't need a fancy system. In many cases, the computer you already have can do the trick — as long as you know what works and what doesn't.
In this guide you will see me simple and practical examples how much memory do you need, if the graphics card is worth it and which computer really suits you. 👇
📋 Contents
🧠 What does "local AI" mean?
when we say local AI, we mean that artificial intelligence runs directly to your computer — without having to send data to a server on the internet.
That is, you ask questions, write texts or analyze files and everything is done locally, on your own disk and in your own memory.
There are tools like Don't and its LM Studio that allow you to download ready-made artificial intelligence models. These can be:
- ⚡ Short and quick (for simple questions)
- 🧠 Medium (for everyday use, e.g. writing texts)
- 🚀 Bigger and smarter (but resource-intensive)
✔️ Absolute privacy
✔️ You don't pay subscriptions
✔️ Works even without internet
✔️ Ideal for personal files and work
📌 Example: If you have work documents or personal notes, you can analyze them with AI without them ever leaving your computer.
💾 RAM: the most important part
If there is one component that most affects your AI experience, it is the RAM. AI models are loaded almost whole in memory while they work. If they don't fit, they simply don't start — or "hang."
📌 Think of it like a workspace: the bigger your desk, the more things you can open at once without a problem.
Here's a practical guide to knowing what you need:
- 🟡 8 GB RAM — The absolute minimum. Will only work with very small models and with delays. Suitable for testing only.
- 🢢 16 GB RAM — The most balanced option for beginners. You can run models like Llama 3 (8B) ή Mistral (7B) for:
- ✍️ writing texts
- 📄 summaries
- 💬 questions & answers
- (I.e. 32 GB RAM — Much more comfortable experience. You can have at the same time:
- AI model open
- browser with many tabs
- other applications
- 🟣 64 GB RAM and above — For advanced users. Suitable for large models (e.g. 70B), heavier work and experimentation.
📌 Practical example: If you have 16 GB of RAM and open an AI along with a browser and YouTube, you might start to see lag. With 32 GB, the same scenario will run smoothly.
🎮 The graphics card: for speed
A graphics card isn't required to run AI — but it does help huge difference in speed.
Without it, everything is done by the processor (CPU), which means you may have to wait a long time for each response. With a graphics card, the experience becomes immediate and more "lively". ⚡
The most important feature here is the card memory (VRAM), because it determines what you can load:
- 🟡 6–8GB VRAM — For basic use and small models.
- 🢢 12 GB VRAM — A very good choice for most users. It runs the most popular models comfortably.
- (I.e. 16 GB VRAM — Major upgrade. Better speed and support for larger models.
- 🟣 24 GB VRAM — For demanding use and very large models. Ideal for those who want the maximum.
📌 Practical example: The same question in AI might get:
👉 20–40 seconds without a graphics card
👉 2–5 seconds with a good card
⚙️ The processor: smaller role
The processor (CPU) is important — but in practice it has less important than most people imagine when we talk about artificial intelligence.
For basic and medium use, a relatively modern processor (from 2018 onwards) with 4 or more cores.
📌 In simple words:
- ✔️ An Intel Core i5 or AMD Ryzen 5 from the last few years is enough
- ✔️ You don't need to invest in a very expensive processor
- ✔️ The difference is mainly seen if you don't have a graphics card
When there is no graphics card, then all the work is done by the processor. In this case:
- 👉 More cores help
- 👉 But the difference remains limited
📌 Practical example: A computer with a mediocre processor and 32 GB of RAM will perform better at AI than a “powerful” processor with only 8 GB of RAM.
💿 Storage space: don't overlook it
Artificial intelligence models are large files — and the smarter they are, the more space they take up.
📦 Indicative sizes:
- 🟡 Small models (3–7 billion) → approx. 2–5GB
- 🟢 Medium models (7–13 billion) → approx. 5–15GB
- 🔵 Large models (30+ billion) → 20–80GB+
That's why it's important to have enough free space:
- 📁 At least 50–100 GB available to get started comfortably
- 🗄️ If you want many models, aim for 1 TB storage space
⚡ But the most important thing is the type of disc:
- 🚀 SSD (ideally NVMe) → very fast loading of models
- ???? Old hard drive → long delays
📌 Practical example: A model may load in 5–10 seconds on an SSD, but take over 1 minute on an old disk.
📊 User category comparison
Not everyone needs the same system. See what suits you based on your usage:
| User type | RAM | Graphics card | What can run? |
|---|---|---|---|
| 🔰 Beginner / Trial | 16 GB | Not required (or basic) | Small models for simple tasks and tests |
| 💼 Everyday user | 32 GB | Mid-range graphics card | Smooth use, quick responses, everyday tasks |
| 🚀 Experienced user | 64 GB | Powerful graphics card | Large models, file analysis, more demanding tasks |
| 🏆 Advanced | 64GB+ | Top graphics card | Very large models and professional use |
Modern Macs with Apple Silicon processors (M1, M2, M3) have a big advantage: their memory is shared across all parts of the system.
👉 This means that even with 16–24 GB of memory they can run AI more efficiently than many traditional computers.
📌 Tip: If you're thinking about buying, opt for more "space" (RAM & storage) instead of an overly powerful processor.
✅ Summary- Tips
Artificial intelligence on your computer is no longer something difficult or “only for experts.” Today, with a simple computer from the last few years, you can get started right away — without subscriptions and without complicated settings.
📌 The important thing is to know where to prioritize:
- 🥇 First the memory (RAM). With 16 GB you start comfortably, with 32 GB you have a really smooth experience without any lags.
- 🥈 Then the graphics card. It's not essential, but having one makes a huge difference in speed. Even a mid-range card can really elevate the experience.
- 🥉 Don't forget the record. A fast SSD dramatically reduces loading times and makes use more enjoyable.
- ⚙️ The processor? In most cases it won't limit you — as long as it's relatively modern.
📌 Realistic usage scenario:
A computer with 32 GB of RAM and SSD can be used for:
✔️ article writing
✔️ document summary
✔️ answers to questions
✔️ help with work or studies
without needing an internet connection.
