The development of general purpose GPU (GPGPU) applications on Apple's M* chips faces significant challenges due to Apple's restrictive ecosystem and limited support for traditional GPGPU programming approaches like CUDA. As per user comments, while excellent performance capabilities like over 43 trillion float operations per second and high memory bandwidth are available, undocumented or less conventional methods can lead to roadblocks such as App Store restrictions and potential legal issues with undeclared APIs. The primary recommendation from the community is to utilize Apple’s Metal API, which is designed for graphics and compute tasks on Apple hardware. Additionally, other high-level solutions like MLX, Shadama, and cross-platform options such as Vulkan through MoltenVK offer promising alternatives. Developers interested in GPGPU on M-series chips should focus on understanding Metal, as it is closely tied to the Apple ecosystem and directly supported by Apple.