How difficult would it be to develop a module similar to LattePanda Mu with x86 support for the Turing Pi2 platform? Considering that x86 fully supports PCI-Express GPUs, this could be a valuable functional expansion for the platform.

Almost anything is doable. The question is: what's the return on investment?

At the moment, people are trying to run discrete graphics on ARM-based boards, with a lot of pain and patches managing to get some AMD cards working, but there is no proper driver support. The x86 platform, which has full driver support, allows the use of fully functional GPUs, eliminating the need to purchase expensive Nvidia Jetson modules. The advantage? Well, there is no similar Turing Pi-like platform on the market, except for LattePanda. Intel is not in the best shape right now, and they would likely be willing to collaborate on favorable terms to promote their products.

All good points. The point I tried make, although somewhat obliquely: What is the Total Addressable Market? Sounds like a Kickstarter.

I would certainly be interested in x86 modules for the Turing Pi 2 or any future version of a cluster board. I truly believe there is a bright future for ARM, but we're not there yet unfortunately.

There are now many manufacturers of single-board computers, but Raspberry Pi set the standard, leading many to replicate its form factor, size, and functionality. Turing Pi remains unmatched in its ability to integrate multiple boards within a unified ecosystem, offering a strong advantage in module variety and compatibility. However, this edge could be lost over time. Introducing an x86 platform would significantly expand its capabilities, as no comparable solutions currently exist in the market.

At one point, I thought something based on an AMD Ryzen laptop chip would be great.The new AI Pro 300 series seems to compete with NVIDIA Orin NX 16GB modules. The thing about doing such a product is the price will be equivalent. What is quite unlikely is an x86_64 module for an ARM module price. Again, a Kickstarter is likely the only viable option for bringing such a product to market.

Maybe something like an Intel N355 or AMD V3C18 (Ryzen Embedded V3000 Series) would make a reasonable priced Compute Module possible. That would be comparable to the Latte Panda Mu in performance and enough power for most tasks.