In Brief (TL;DR)
Learn how to install and use Ollama to run artificial intelligence models like DeepSeek directly on your computer, ensuring privacy and offline functionality.
Discover how to install powerful language models like DeepSeek and manage them offline with Ollama, guaranteeing total privacy and no monthly fees.
Manage your AI models locally to ensure maximum privacy and complete control over your data.
The devil is in the details. 👇 Keep reading to discover the critical steps and practical tips to avoid mistakes.
Imagine having a smart assistant right on your computer, capable of writing code, translating texts, or generating creative ideas without ever connecting to the internet. This is no longer science fiction, but a reality made accessible by tools like Ollama and artificial intelligence (AI) models like DeepSeek. Local AI is becoming an increasingly popular solution for those seeking privacy, control, and independence from large cloud services. In a European and Italian context, where personal data protection is a priority enshrined in regulations like the GDPR, this technology takes on even greater importance.
This guide will walk you through the world of offline AI, showing you how to combine the tradition of control and confidentiality, typical of Mediterranean culture, with the most disruptive technological innovation. We’ll see how to install and use Ollama to run powerful models like DeepSeek, turning your PC into a personal, secure, and subscription-free artificial intelligence hub.

Local Artificial Intelligence: A Silent Revolution
While giants like OpenAI and Google dominate the scene with their cloud services, a quieter revolution is taking hold: local artificial intelligence. Running an AI model directly on your computer means that all operations, from the questions you ask to the answers you receive, happen on your machine, with no data being sent to external servers. This approach offers decisive advantages, especially in a Europe that is mindful of digital sovereignty.
Running an LLM (Large Language Model) locally has several advantages over cloud-based usage: performance, privacy and security, cost, and customization.
The main benefits are clear: total privacy, because sensitive information never leaves your device; zero recurring costs, unlike the monthly subscriptions of online services; and offline functionality, which guarantees you access to AI even without a stable internet connection. This model fits perfectly with the European and Italian mindset, which combines a strong tradition of autonomy with a drive for sustainable innovation. It’s no surprise that the Italian AI market is growing rapidly, reaching a value of 1.2 billion euros, a 58% increase in just one year.
What Are Ollama and DeepSeek?

To enter the world of local AI, two names are essential: Ollama, the tool that simplifies everything, and DeepSeek, one of the most powerful models you can use. Together, they form a perfect combination for anyone who wants to experiment with artificial intelligence on their PC, from developers to small business owners.
Ollama: The Simple Bridge to Local AI
Ollama is an open-source tool that makes it incredibly easy to download, set up, and run large language models (LLMs) on your computer. Its philosophy is similar to Docker’s: with a single terminal command, you can launch a complex AI model that would otherwise require complicated installation and configuration. Available for Windows, macOS, and Linux, Ollama handles all the technical complexities, allowing you to focus solely on using artificial intelligence.
DeepSeek: The Power of Programming at Your Fingertips
DeepSeek is a family of open-source AI models, with particular excellence in tasks related to programming and mathematical reasoning. The DeepSeek Coder V2 version, for example, was trained on billions of lines of code and supports over 338 programming languages, offering performance comparable to paid models like GPT-4 Turbo for specific tasks. Thanks to Ollama, running a powerful model like DeepSeek on your PC becomes an operation accessible to everyone, no longer exclusive to researchers with specialized hardware.
Practical Guide: Installing Ollama and DeepSeek on Your PC
Running an advanced artificial intelligence on your own computer is easier than you think. It only takes a few steps to install Ollama and launch a model like DeepSeek. This guide will show you how, focusing on the essential requirements and commands to get started right away.
System Requirements
Before you begin, it’s important to check that your PC has the necessary resources. Although it’s possible to run smaller models on modest hardware, for a smooth experience with powerful models like DeepSeek, the following are recommended:
- RAM: At least 16 GB. For larger models, 32 GB is ideal.
- Disk Space: Models can take up several gigabytes, so make sure you have at least 20-50 GB free.
- GPU (Graphics Card): It’s not mandatory, but a dedicated GPU (NVIDIA or AMD) with at least 8 GB of VRAM will significantly speed up performance. Without a compatible GPU, Ollama will use the CPU, but responses will be slower.
Installing Ollama
Installing Ollama is a quick and straightforward process. Follow these simple steps:
- Visit the official website ollama.com and download the installer for your operating system (Windows, macOS, or Linux).
- Run the downloaded file and follow the on-screen instructions. The installation will set up everything needed to run models from the command line.
- Once completed, Ollama will be running in the background, ready to receive commands.
Launching DeepSeek with a Simple Command
With Ollama installed, launching DeepSeek is a matter of a single command. Open your terminal (or Command Prompt on Windows) and type:
ollama run deepseek-coder-v2
The first time you run this command, Ollama will automatically download the DeepSeek Coder V2 model (this may take a few minutes, depending on your connection). Once the download is complete, a prompt will appear where you can start chatting directly with the AI. All conversations will take place entirely on your computer, securely and privately.
Beyond Theory: Practical Use Cases in Italy
Local artificial intelligence is not just a technical exercise, but a practical tool with concrete applications in the Italian economic and cultural fabric. From small artisan businesses to software developers, the possibilities are immense and align perfectly with a market that, although lagging in adoption by SMEs, shows enormous growth potential.
The implementation of artificial intelligence is not exclusive to large companies: for Italian small and medium-sized enterprises (SMEs), it also represents an extraordinary opportunity to improve operational efficiency and competitiveness.
- Developers and IT professionals: They can use DeepSeek Coder to generate code, debug, or learn new programming languages without sending proprietary code to external servers. This ensures maximum confidentiality on projects, a crucial aspect for consulting and custom software development. For those working with data, the privacy offered by local chatbots is an invaluable advantage.
- Small and Medium-Sized Enterprises (SMEs): An artisan company can use a local model to create product descriptions for e-commerce, write draft emails for customers, or translate communications, all while maintaining full control over its business data. This combines the Italian tradition of "know-how" with digital innovation, optimizing processes without depending on expensive external services.
- Students and researchers: Offline AI is a powerful ally for summarizing academic articles, analyzing texts, or preparing study materials without needing an internet connection. This not only ensures privacy but also the ability to work anywhere, promoting a more flexible and autonomous approach to studying.
Pros and Cons of Local AI: My Experience
After thoroughly testing Ollama and several models like DeepSeek, I can confirm that the experience of having a personal AI on your computer is as powerful as it is enlightening. The feeling of control is priceless: knowing that every interaction remains private, safe from prying eyes and external training algorithms, is a huge advantage. The responses, once the model is loaded into memory, are almost instantaneous, eliminating the network latency typical of cloud services. It’s an experience that empowers and brings the user closer to the technology.
Personally, the biggest advantage is freedom. The freedom to experiment with different models, to customize them, and to use them without worrying about hidden costs or the privacy of my data. It’s a return to controlling one’s own technology.
However, it’s not a path without obstacles. The main hurdle is hardware: to get decent performance, especially with large models, you need a computer with a good amount of RAM and, ideally, a modern GPU. Without it, text generation can be slow. Furthermore, unlike cloud solutions like those described in the comparison between ChatGPT, Gemini, and Copilot, local models do not update automatically. It’s up to the user to download new versions to benefit from the latest improvements. Finally, the initial setup, although simplified by Ollama, might still be challenging for those unfamiliar with the command line.
Conclusions

Local artificial intelligence, made accessible by tools like Ollama and powerful models like DeepSeek, represents a significant shift in how we interact with technology. It is no longer a luxury for a few, but a concrete resource for anyone who wants to harness the power of AI without compromising the privacy and control of their data. This approach aligns perfectly with the European cultural and regulatory context, where digital sovereignty is an increasingly central value.
We have seen how installation has become surprisingly simple and how use cases range from software development to managing a small business, combining innovation and tradition. Although hardware requirements can be a barrier, the benefits in terms of security, cost, and autonomy are undeniable. Offline AI does not completely replace cloud solutions, but it offers a powerful and necessary alternative, similar to the concept of creating your own private cloud for data. Ultimately, AI on your PC is not just a technical possibility, but a strategic choice for a more conscious and secure digital future.
Frequently Asked Questions

Absolutely not. Installing Ollama is very simple and designed even for those without advanced technical skills. Just download the program from the official website for Windows, macOS, or Linux and follow the guided procedure. Once installed, to use a model like DeepSeek, you just need to open the terminal and type a single command, for example, ‘ollama run deepseek-coder’. The system will take care of downloading and configuring everything automatically.
The requirements depend on the complexity of the AI model you want to use. To start with smaller models, at least 8 GB of RAM is sufficient. For more powerful models like the standard versions of DeepSeek, 16 GB or, even better, 32 GB of RAM is recommended for a smooth experience. Although not mandatory, a dedicated graphics card (GPU), especially NVIDIA or AMD, can significantly speed up the AI’s responses.
Yes, it’s completely free. Ollama is open-source software and has no license fees or monthly subscriptions. Many powerful models like DeepSeek are also released in an open-source format, so you can download and use them freely. The only cost is related to your computer’s hardware and energy consumption, but there are no payments for the software or for using the AI.
Yes, security and privacy are the main advantages of this solution. Since the artificial intelligence operates entirely on your computer, no information, questions, or documents you analyze leave your device. This ensures maximum confidentiality, unlike online services that send your data to external servers. You have complete control over your information.
Certainly. Ollama supports a vast library of open-source artificial intelligence models. Besides DeepSeek, you can easily download and use other famous models like Meta’s Llama 3, Mistral, Google’s Gemma, and many others. This allows you to experiment with different AIs to find the one best suited to your needs, whether for writing texts, generating code, or analyzing data.

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