A possible orientación for the proyect

I'm really interested in the project but I think they are going in a direction that is not going to fully exploit the capabilities of the project, begining with the possible applications of an extra compute module on a gpu, ti could be used to perform RTX related calculations without needing to purchase an nvidia RTX gen GPU, In fact, the calculation modules of the raspberry pi (speaking for example of the CM4), could perform calculations related to king tracing and similar technologies.However, we cannot also escape the possibilities of use for data science and even to increase the power and memory of old GPUs, making them capable of extending their own useful life Thanks to the fact that part of the calculations could be carried out by a CM4 module or similar modules, Saving a lot of money in the process and making budget gaming even better

For some context, I live in a South American country where the gaming PC market got really expensive, To the point that the vast majority of the country (in which I live) settles for computers from really old generations, and speaking of GPUs, these tend to reach really high prices without counting taxes So my opinion is that a project like this could improve the PC gaming market in my country in an extraordinary way.

Thank you for reading and I hope you consider my point of view about the great capabilities of this project.

The issue does not identify files, tests, or an implementation entry point. Start by reviewing the project's existing Raspberry Pi GPU carrier-board design, then define a specific supported capability and measurable completion criteria before attempting work.

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