Nosana launches public GPU marketplace, unlocking the unlimited potential of decentralized AI computing power

The Nosana decentralized computing marketplace officially launched in January 2025. We are committed to building an open and efficient GPU resource sharing ecosystem, allowing any user with a compatible GPU to register as a computing node, while also providing AI enterprises with convenient and low-cost access to computing power. Nosana is redefining the infrastructure of AI computing with an innovative public decentralized GPU marketplace model.

GPUs are the core engine driving the development of artificial intelligence. Their parallel processing capabilities can efficiently handle the large-scale computations required for model training and inference, far surpassing traditional CPUs. However, the current high prices and tight supply of GPU resources have become a major bottleneck restricting innovation in the AI industry.

Nosana aims to solve this problem. We have built an open and flexible computing resource network that allows hardware owners worldwide with compliant GPUs to register as nodes and contribute computing power. This model provides AI companies with cost-effective, on-demand computing resources, significantly lowering the threshold for innovation and accelerating the popularization and application of AI technology.

By building a peer-to-peer computing power trading marketplace, Nosana effectively connects users in need of computing power with individuals and data centers that have idle GPU resources, promoting the construction of a more open and efficient AI development ecosystem.

Mission: Sharing GPUs, Driving Innovation At Nosana, we firmly believe that GPUs should be shared public resources, lowering the cost and technical barriers for enterprises and individuals using AI. In the past few months, we have encountered many companies struggling with high GPU costs, as well as teams unable to find suitable hardware to support their AI research progress. These real-world challenges have further strengthened our determination to create a decentralized computing power solution. What Nosana offers is a decentralized GPU marketplace optimized for AI inference workloads, both economical and efficient.

Strict Quality Assurance, Supporting Large-Scale Expansion Every GPU node joining Nosana must pass rigorous performance benchmarking before entering the community marketplace. Nodes with stable performance can be upgraded to the advanced marketplace to undertake computing tasks with higher returns. Our R&D lab continuously develops performance testing tools to ensure the overall computing performance of the network is reliable and stable, maintaining high standards of AI inference quality while achieving continuous network expansion.

Benchmarking not only ensures node quality and prevents fraudulent behavior, but also guarantees that the network always maintains high reliability and top performance. * For specific hardware requirements, please refer to the relevant documentation:

Highly Competitive Market Pricing Nosana offers cost-effective GPU computing power solutions, with platform prices as low as one-fifth of those for similar hardware configurations from traditional cloud service providers. As a decentralized marketplace, pricing is determined by the global supply of GPU computing power from nodes and the computing demand from AI enterprises. This market-driven mechanism provides users with highly competitive computing prices and creates sustained and stable profit opportunities for GPU owners. For detailed pricing information, please check the Nosana price calculator and official GPU price list.

Working with Partners to Drive Industry Innovation We have established partnerships with several innovative companies, fully validating the practicality and flexibility of the Nosana decentralized GPU network. Organizations such as Alpha Neural, PiKNiK, Inferia.AI, and Sogni.AI are using our platform to support various tasks, including AI digital humans, enterprise cloud infrastructure, and stable diffusion processing. These collaborations demonstrate that shared GPU resources can effectively solve computing power bottlenecks across different industries.

Nosana breaks down the cost and resource barriers that have long hindered AI innovation, enabling enterprises, research institutions, and individual developers to access GPU computing power more conveniently and economically, no longer constrained by centralized providers. We firmly believe that the road to future innovation should not be limited, but full of possibilities—Nosana is turning this future into reality through decentralized AI computing architecture.

Ideal Partners: AI Innovation Enterprises Committed to Growth Nosana is especially suitable for ambitious AI growth companies constrained by the high costs and limited resources of traditional GPU cloud service providers. Our ideal partners—such as workflow automation platform n8n.io and voice AI company elevenlabs.io—are actively building the next generation of AI applications and urgently need affordable and scalable inference and training computing power. The Nosana decentralized GPU network can help them significantly reduce infrastructure costs, achieve elastic scaling, and break free from vendor lock-in.

If your company is an innovative AI enterprise seeking powerful and cost-effective computing solutions to accelerate growth, we look forward to working with you. Please contact the Nosana team to explore the possibilities of boundless expansion together.

About Nosana Nosana is a GPU marketplace platform focused on providing accessible and affordable AI computing power for enterprises and developers. We focus on AI inference scenarios, connecting data centers and hardware owners with GPU resources to customers who need flexible and low-cost computing power. By activating idle GPU resources, Nosana helps AI/ML engineers deploy workloads more easily, reduce electronic waste, lower operating costs, and continuously drive innovation and development in the field of artificial intelligence.

To start deploying immediately, please refer to the following resources: