Something like eNPU or eTPU seems more appropriate here.

It would work just like a discrete GPU when doing CPU+GPU inference: you'd run a few shared layers on the discrete GPU and place the rest in unified memory. You'd want to minimize CPU/GPU transfers even more than usual, since a Thunderbolt connection only gives you equivalent throughput to PCIe 4.0 x4.

How big a bottleneck is Thunderbolt 5 compared to an SSD? Is the 120 Gbps mode only available when linked to a monitor?

Article mentions: "Apple finally approved our driver for both AMD and NVIDIA"

Does not mention Intel (GPUs). Select AMD GPUs work on macOS, but...

Macs (both Intel and ARM) support TB, but eGPU only work on Intel Macs, and basically only with AMD.

Good news is for medium end gaming choices are solid, and CUDA works on AMD these days.

If a company engages in anti-competitive actions, but the client platform in question (windows phone) has zero users, is it really anti-competitive?

Apple has a monopoly over the "M-chip" personal computer market. They have a monopoly over the iOS market with the app store. They have a monopoly over the driver market on macOS.

Like, Microsoft was found guilty of exploiting its monopoly for installing IE by default while still allowing other browser engines. On iOS, apple bundles safari by default and doesn't allow other browser engines.

If we apply the same standard that found MS a monopoly in the past, then Apple is obviously a monopoly, so at the very least I think it's fair to say that reasonable people can disagree about whether Apple is a monopoly or not.

[0]: https://en.wikipedia.org/wiki/United_States_v._Microsoft_Cor....