Problem Statement
Several challenges hinder the widespread adoption and efficient utilization of GPU resources:
Limited Access: High-performance GPUs are expensive, creating a financial barrier for individuals, startups, and small organizations.
Underutilization: Many GPUs remain idle or underutilized, particularly in personal computers and smaller data centers, leading to inefficient resource utilization.
Centralization Risks: Dependence on centralized providers introduces single points of failure, higher costs, and potential security vulnerabilities.
Complex Integration: Setting up GPUs for specific computational tasks requires significant technical expertise, which can be a barrier for users without specialized knowledge.
Scalability Issues: Existing platforms often struggle with scalability due to manual integration processes and limited infrastructure, hindering their ability to meet growing demands.
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