As artificial intelligence (AI) gets more complicated and more people want it, it’s more important than ever to find cheap, scalable ways to get computing power. While traditional cloud services like AWS and Google Cloud are flexible, they often come with high prices that make them out of reach for startups and smaller coders. With its decentralized GPU network, Nosana is trying to change this situation. Its goal is to make AI training and inference both cheap and scalable.
Nosana, which started up in early 2025, gives coders access to a global network of GPUs that aren’t being used for AI projects. Nosana offers a more cost-effective option compared to traditional platforms, as it leverages computers that remain idle globally. By processing data closer to where it comes from, this decentralized method not only cuts costs but also shortens wait times. This speeds up the development and testing of AI.
The Nosana platform works with many different types of businesses, such as Web3, healthcare, automotive, banking, and more. For instance, Nosana’s tools can help the creative industry grow, and its decentralized computing power can help companies like Ocado make AI agents work better. Platforms like AlphaNeural, a decentralized market for AI models and datasets, also speed up AI model implementation.
Nosana’s network is decentralized, which means that it is run by both small GPU owners and big players like Render and PiKNiK. About 75% of the network’s GPUs come from individual contributors, making it easy for many people to use. Larger providers, on the other hand, make the system safer and more reliable. GPU hosts are rewarded for their work with performance-based bonuses, and they have to stake NOS tokens to make sure that only trusted users give computing power.
Nosana’s method is changing the future of AI by focusing on making computing resources easier to get and cheaper while also ensuring they are secure and scalable. The platform is going to change everything for developers and students looking for beneficial AI solutions. Its decentralized computing model is already helping more and more users.
