**Harnessing the Power of Idle GPUs: Why Your Devices Should Be Working, Not Wasting Energy** Imagine a scenario where your powerful GPUs are idling, unable to contribute to any productive task while your electricity and cooling bills continue to rack up. This is a common problem faced by many organizations, particularly in the cloud computing space, where machines are often left unused after completing tasks. In Nigeria, cloud computing has gained significant traction in recent years, with many companies leveraging its scalability and flexibility. However, this growth has also led to increased energy consumption and costs. In this context, a team has been working on an innovative solution to minimize wastage and maximize the potential of idle GPUs. The concept is simple: instead of allowing idle GPUs to sit idle, they can be utilized for inference tasks. Inference is a process that involves making predictions or decisions based on pre-trained models. This is a critical step in many applications, including computer vision, natural language processing, and more. The team behind this initiative realized that many organizations, including those in Nigeria, are paying for idle capacity in their cloud instances. This is because cloud vendors typically charge for the full capacity of a machine, even when it's not being used. This leaves a significant margin of wasted resources. To address this issue, the team has developed a system that allows organizations to rent out their spare GPU capacity to others in need. This approach is often referred to as spot GPU markets. However, this still means that the cloud vendor is in control, and the organization is limited to renting capacity. The team's innovative solution takes a different approach. By utilizing idle GPUs for inference tasks, organizations can maximize the value of their resources while minimizing energy consumption and costs. This approach not only benefits the environment but also helps organizations to reduce their expenses and increase their competitiveness. In Nigeria, where energy costs are a significant concern, harnessing the power of idle GPUs can have a substantial impact. By adopting this approach, organizations can reduce their reliance on cloud vendors and take greater control over their resources. As the demand for cloud computing continues to grow, innovative solutions like this will become increasingly essential for organizations seeking to optimize their resources and stay ahead of the competition.