You can do the same with any integrated GPU on an Intel or AMD processor. Actually you can go well beyond that amount of memory.
Desktop CPUs using DDR5 have low memory bandwidth because they have narrow bus widths (128bit total) at low speeds. Server CPUs use the same memory at the same per-pin speeds but with much larger bus widths to achieve total bandwidth comparable to a mid-range GPU but supporting orders of magnitude more memory capacity. Apple's high-end chips likewise uses significantly larger bus widths than desktop CPUs, combined with slightly per-pin speeds (LPDDR rather than DDR) to also reach GPU-like total bandwidth.
I don't think it's accurate to single out any one of the above technologies as being the "normal" DRAM. GDDR, LPDDR, and DDR are all fairly different from each other and all quite mainstream.
LPDDR is always at least as close to the processor, and is often in-package so significantly closer. HBM is always in-package.
But all of that is a red herring, because the distance is only loosely correlated with performance and is a completely irrelevant metric if you've already accounted for bus width and clock rate.
Are you talking about SoCs? Regular laptop/desktop APUs don't usually include their own RAM.
Not really. It's pretty difficult to do LLM development work on a smartphone.