Initial MPV Setup

Phase 1: MVP (Minimum Viable Product)

The initial phase of Graphix AI focuses on building the foundation. This phase sets up the essential functionalities that allow GPU owners to connect their devices to the Graphix network, enabling them to process tasks and send back the results.

Technical Foundation:

• Client-Side Python Program (CLI): Python was chosen for its simplicity and strong community support, especially in data-heavy fields. It supports critical GPU libraries like TensorFlow and PyTorch, making it an ideal choice for rapid development across multiple operating systems. This program allows GPUs to connect to the central server, receive tasks, and process them.

• Central Server Technology: The backbone of Graphix AI’s infrastructure is built using Express and Socket.IO. Express helps manage routing and middleware, while Socket.IO ensures reliable, real-time communication between the central server and connected GPUs. This setup is crucial to ensure fluid task distribution and proper workload management.

• Interactive Web Dashboard: To enhance user experience, Graphix AI has developed a web-based dashboard. Users can easily submit tasks, track their GPU performance, and monitor real-time task progress. This adds transparency to the entire process and makes it more user-friendly, especially for users managing multiple GPUs.