Replying to @⁨eicker@lemmy.world⁩

The funniest part is that the thing that could actually make AI useful at scale might be what wrecks the investment thesis: cheap, local, open weight models. Wall Street funded a trillion dollar server farm to discover that sometimes the answer is a smaller model running on your laptop. The technology might win while the investors lose. Nevertheless, companies such as Google, Amazon, and Microsoft – as well as Nvidia and AMD – are a very long way from simply going under.

Replying to @⁨scytale@piefed.zip⁩

they’re doing far more than just that, the way jensen has been able to structure all almost all of these deals essentially offloading all the risk. they sell essentially lease the hardware, ontop of huge chunk of premium up front, ontop of paying for compute itself, ontop of offloading any actual buildout cost onto any greedy schmuck willimg to pay the tab. nvda will be completely fine (though stock price will obviously correct as bubble-levels income drops)

Replying to @⁨scytale@piefed.zip⁩

At the same time, they are doing extreme price gouging with little improvement between generations since h200. Huawei actually has better $/performance ratio and accelerating faster. Others have better inference solution, with AMD doing better on $/training performance too. The fact that Nvidia is the one propping up the AI bubble, sinking their cashflow into dead ends, makes it a bad stock too. Peak NVidia BS got exposed in an Australian IPO this week. It was too absurd to get anyone to buy and got cancelled. Heavily backed by NVidia.