# Decentralized Computing

**Step 1: Join the Network** Users join the Power AI network by installing our software on their devices, connecting their idle GPUs to the platform. This transforms individual GPUs into part of a global, decentralized computing network.

**Step 2: Submit AI Tasks** Developers, researchers, and organizations submit their AI tasks to the Power AI platform. The platform supports a wide range of AI frameworks and libraries, ensuring seamless integration with existing tools.

**Step 3: Distributed Computing** Power AI’s smart scheduling system distributes the submitted tasks across the network of available GPUs. This decentralized approach ensures efficient processing by utilizing the collective power of the global network, optimizing load balancing and minimizing latency.

**Step 4: Task Completion and Results** Once the tasks are processed, the results are returned to the users. This distributed method allows for faster, more cost-effective AI model training and inference.


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