Overview of the OpenGPU Ecosystem:
In essence, the OpenGPU Network is dedicated to decentralizing GPU computing for AI tasks by utilizing blockchain technology.
We organize our ecosystem around three core subsystems:
Client System: Responsible for the creation and submission of AI tasks to the network.
For a detailed look at the OpenGPU Client, check out our exclusive sneak peek video on YouTube.
Provider System: Keeps committed processing units (GPUs in particular) available to carry out the AI tasks posted on the network.
Network Orchestration System: Provides blockchain-based infrastructure and the necessary services for secure and transparent AI task distribution in conjunction with the above systems, while overseeing the overall security and transparency.
The main app of the client system has reached its initial functional form. Even in this alpha version, it provides a user-friendly interface allowing users to post their AI training tasks. Key features of the client app include:
Load Model: Upload TensorFlow models that support a wide range of algorithms.
Load Database: Share databases using public repositories like Kaggle.
Set Hyperparameters: Configure model parameters with guided defaults and recommendations.
Define Constraints: Set constraints to match GPU systems to user needs.
Review and Confirm: Confirm settings before initiating transactions on the blockchain.
This app is a pivotal tool for the OpenGPU network, ensuring users can efficiently utilize our decentralized GPU resources.
