If we talk about deeply respecting the privacy of users, Brave is undoubtedly one of the great references for the common user. And it’s normal, because that’s always been its main focus, to provide an Internet experience focused on preserving privacy at the highest possible level. A goal that is not always simple, because the economy of user data has been an exceptional source of business for many years.

This has translated over the years into the incorporation of new features as well as improvements to existing ones which They managed to consolidate the prestige of Brave. But, of course, the browser does not live only from privacy features, but also needs to add more general ones, and nowadays, as you already know, the main trend is the integration of artificial intelligence-based functions. Problem? In general, there is usually more than a relevant conflict between AI services and privacy.

When the people responsible for Brave implemented Leo, their own assistant based on artificial intelligence in the cloud, they applied a number of measures to ensure that the function was as much as possible in line with their philosophy, and it is true that they managed to make a difference in this regard. However, as you know The current trend is to perform AI tasks locally, because, among other advantages, it offers a much more privacy-friendly framework. And here comes the publication of the AI ​​​​Decoded series that NVIDIA released this week.

As we’ve mentioned on other occasions, the computing power of NVIDIA’s RTX GPUs allows many AI-based tasks to be performed locally, without the need to upload data to the cloud where it is processed out of reach. user. but now Thanks to the collaboration between NVIDIA and Brave, it will be possible to use Ollama (a local solution for performing LLM) as the “engine” of Leo, an assistant integrated into the browser..

So Brave users will be able to use Leo, whether it’s to get an overview of the websites they visit or simply to have a conversation, with complete peace of mind that everything that happens, including the processing of your data, running on your systemswithout the cloud being involved in the process. Of course, the use of RTX GPU Tensor Cores is key to this, as they enable faster processing of AI tasks, bringing these capabilities to those looking for advanced tools without compromising the security of their information.