GPUs, as crucial tools for intensive computing tasks, are primarily used for rendering and computation.However, due to the high cost of GPUs and their frequent updates, owning powerful local GPUs is considered a luxury.Offloading tasks to the cloud is an effective solution.This method allows users to leverage the powerful capabilities of cloud-based high-performance computing resources to perform complex rendering tasks more quickly and cost-effectively.However, there has not yet been a solution that simultaneously considers both rendering and computation without requiring any modifications to local applications.This paper introduces gHermes, an application-unaware acceleration solution that automatically generates code to intercept rendering and computing tasks, overcoming the limitations of existing technologies.Additionally, for computational tasks, gHermes also enables fine-grained control of GPU utilization.Experimental results show that gHermes can handle both computing and rendering tasks efficiently.While ensuring the Quality of Service (QoS) requirements for rendering tasks (30-60 FPS), it effectively utilizes GPU resources for computation services.