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This won't materialize into a legitimate threat on the NVIDIA/TPU landscape without enormous software investment. That's why NVIDIA won in the first place. This requires executives to see past the hardware and make riskier investments and we will see if this actually materializes under AWS management or not.
I feel your posts miss the bigger picture: it's a marathon, not a sprint. If you get much lower TCO than by buying Nvidia hardware at their insane margins you get more output at lower cost.

Amazon has all the resources needed to write their own backends to several ML software or even drop-in API replacements.

Eventually economics win: where margins are high competition appears and in time margins get thinner and competition starts disappearing again, it's a cycle.

Isnt this exactly what was said about Google and their TPU's before it transitioned from the NVIDIA landscape to the NVIDIA/TPU landscape?

Turns out multi-billion dollar software companies can deal with the enormous software investment

> they will go with three different scale-up switch solutions over the lifecycle of Trainium3, starting with a 160 lane, 20 port PCIe switch for fast time to market due to the limited availability today of high lane & port count PCIe switches, later switching to 320 Lane PCIe switches and ultimately a larger UALink to pivot towards best performance.

It doesn't have a lot of ports and certainly not enough NTB to be useful as a switch, but man, wild to me than an AMD Epyc core has 128 lanes of PCIe and that switch chips are struggling to match even a basic server's worth of net bandwidth.

The hardware story is interesting, but I’m curious how much of the real-world adoption will depend on the maturity of the compiler stack. Trainium2 already showed that good silicon isn’t enough if the software layer lags behind.

If AWS really delivers on open-sourcing more of the toolchain, that could be a much bigger signal for adoption than raw specs alone.

I have seen links to semianalysis before, i just am scared of the length of this content. Is anyone reading these start to finish? Why?
Chips without an ecosystem and software (CUDA) does not a serious challenger make. Thats where Amazon has, and continues to, struggle.
What does this mean for a company like Coreweave?
As evident by recent HN coverage, SemiAnalysis is just becoming another shi*posting publication. Not one person in the industry consider them reliable/technically sound.