I find the piece, much like a lot of other documentation, "imprecise". Like most such efforts, it likely caters to a group of people expected to benefit from being explained what a GPU is, but it fumbles it terms, e.g. (the first image with burned-in text):
> The "Warp Scheduler" is a SIMD vector unit like the TPU VPU with 32 lanes, called "CUDA Cores"
It's not clear from the above what a "CUDA core" (singular) _is_ -- this is the archetypical "let me explain things to you" error most people make, in good faith usually -- if I don't know the material, and I am out to understand, then you have gotten me to read all of it but without making clear the very objects of your explanation.
And so, for these kind of "compounding errors", people who the piece was likely targeted at, are none the wiser really, while those who already have a good grasp of the concepts attempted explained, like what a CUDA core actually is, already know most of what the piece is trying to explain anyway.
My advice to everyone who starts out with a back of envelope cheatsheet then decides to publish it "for the good of mankind", e.g. on Github: please be surgically precise with your terms -- the terms are your trading cards, then come the verbs etc. I mean this is all writing 101, but it's a rare thing, evidently. Don't mix and match terms, don't conflate them (the reader will do it for you many times over for free if you're sloppy), and be diligent with analogies.
Evidently, the piece may have been written to help those already familiar with TPU terminology -- it mentions "MXU" but there's no telling what that is.
I understand I am asking for a tall order, but the piece is long and all the effort that was put in, could have been complemented with minimal extra hypertext, like annotated abbreviations like "MXU".
I can always ask $AI to do the equivalent for me, which is a tragedy according to some.