Doesn't change the conclusions of the article, but each of those machines is more like $4k+
https://www.microcenter.com/product/711961/amd-ryzen-ai-halo...
LLMs aren’t all that compute constrained or even memory constrained. It’s just that pushing dozens of terabits per second through a piece of silicon is a physics problem.
I guess they're just welding the memory to the CPU chip, but still curious.
Unified memory is more of an architectural and performance characteristic, and does not imply much about the physical layout of the machine. Most unified memory PCs not from Apple don't have the memory on the same package as the SoC. For stuff like AMD Strix Halo and NVIDIA DGX Spark, it's just standard LPDDR packages soldered on the motherboard in the general vicinity of the SoC, and the only difference from mainstream laptops for the past decade+ is that the memory bus is twice as wide.
The cache parts of memory are on the CPU itself but they are on the order of MB not GB.
Nowadays, specially with MoE models you can run parts of the model on GPU and still get some speed up.
This is likely the right path in the future but it isn’t there yet today
"The Blackwell RTX PRO 6000 provides up to 1,792 GB/s of memory bandwidth, while the 40-core Apple M5 Max tops out at 614 GB/s"
[0] I heard this being an issue with TLC, I don't know if it also applied to MLC or SLC.
[1] I suspect in practice they use an error correction code and rewrite blocks that read with corrected errors.
Putting an LLM on it means you care to make it look nice, but not enough to actually do it. Why bother?
Like what does the second sentence even mean? Is it even a sentence? "The roofline math, the prompt-processing catch, the NPU red herring, and the owner-measured speeds."
` The mini PC's slowness is not a driver problem or a weak chip. It is arithmetic on the bandwidth number. `
But the specific problem with LLMs is that they waste your time: they appear to have substance and effort put in in a way that a bullshitting human could simply never accomplish because it would take too much effort to do so, defeating the point of not just putting in effort. For example, using an LLM to triage a production issue, it chugs through logs and stacktraces and outputs a completely wrong explanation, which gets copied and pasted into an issue. It's got everything that would indicate effort was put in: an explanation of exactly what is happening and why, with plenty of supporting information. The only problem is, it's made up and full of assertions that are false. Claude Fable just told me moments ago that a problem I was debugging was due to virtio-GPU giving back bad timestamps, confidently with an explanation of why. It wasn't and it isn't known to. Fine: I knew what I was getting. If someone copies and pastes an LLM explanation without context, I don't know what I'm getting, and LLM writing tells are the only way I can avoid shortening my lifespan spending time on things I should have been more skeptical about but my human senses failed to flag as suspicious.
When someone posts an article or github issue or PR and it's undisclosed LLM slop, then we have a problem. Again. These PRs, issues, articles look completely legit. Like this one:
https://github.com/KhronosGroup/MoltenVK/pull/2724
No bad intentions involved: the person just simply couldn't tell when the LLM was bullshitting it, and his PR passed the sniff test just enough to get merged and cause regressions.
So if something outright smells like LLM slop from the writing style, that's a bad sign. The author has probably not written most of the sentences as they are presented, which is hard to distinguish from them not having written them at all. If they had proofread the article, they would have hopefully also noticed the repetitive, annoying LLM writing style and fixed it. When they don't, it tells me one of two things:
1. They didn't really put that much effort in, OR
2. They seriously lack taste.
Neither option is really super good.
It's not good that we're allowing people to think this isn't an issue. It definitely is an issue. It will become a worse issue once someone figures out how to fix the LLM slop writing style in post training, because then we will no longer have any good signal that human effort was put in to any prose at all.
I'll leave my opinion about this specific article out of it because it's really not specifically about this article. I can only think of one reason for people to make these bad faith arguments in favor of ignoring the glowing red "I DID NOT PUT ANY EFFORT INTO THIS" signs LLMs currently leave all over your work, and that is hoping that the pathway stays open for yourself to use.