This blog post details the implementation of Runtime Power Management (Runtime PM) in the Raspberry Pi GPU, focusing on achieving better power efficiency without sacrificing performance. The author discusses the background of power management in the context of embedded devices, outlines the challenges faced during implementation, and presents measurable results showing power savings when the GPU is idle. By enabling the GPU to enter low-power states, this change enhances energy efficiency on Raspberry Pi platforms and aligns with the Linux kernel's infrastructure.