Finally, "real" GPUs on the Raspberry Pi 5

cstanton over 1 year ago

Stable diffusion, A.I. LLM, video rendering, or gaming? Maybe VR? Would a more powerful GPU on the Pi benefit you?

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misaz over 1 year ago

you can choose super performant GPU and use it with super slow disk storage (SD card) or you can choose super performant disk storage (NVME drive) and use it with slow integrated GPU. Hard decision...
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misaz over 1 year ago

you can choose super performant GPU and use it with super slow disk storage (SD card) or you can choose super performant disk storage (NVME drive) and use it with slow integrated GPU. Hard decision...
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Gough Lui over 1 year ago in reply to misaz

Or you can spend a lot of money on a PCIe switch to share the limited PCIe bus bandwidth between them.

On a more serious note ... sometimes YouTubers are so preoccupied with being first to try something that they forget whether they should do that "something" in the first place.

An expensive GPU deserves better :).

- Gough
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cstanton over 1 year ago in reply to misaz

misaz said:
you can choose super performant GPU and use it with super slow disk storage (SD card) or you can choose super performant disk storage (NVME drive) and use it with slow integrated GPU

Though you missed a couple of options, no?

1. Network storage.

2. USB3 storage.

Both would be faster than SDCard. In fact, perhaps you could cluster a number of them together to take advantage of the compute, arguably there may be cheaper ways to do that.
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misaz over 1 year ago in reply to cstanton

Network storage has horrible latencies and is almost unusable for serious gaming. USB 3.0 has similar issue in theory, but not so significant. With USB 3.0 SSD it may work, I think. But still can't compete with x86 solutions.
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cstanton over 1 year ago in reply to misaz

These are valid points we are talking about the Pi here, there's going to be compromises in these non optimal conditions
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