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Commercial AI companies are laser-focused on making their AIs bigger, rather than understanding what they are doing or making something that works at all.
I'll take exception though with one particular part of this article:
DeepSeek, meanwhile, pioneered an approach dubbed "mixture of experts," which leverages multiple neural networks, each specializing in different fields - the proverbial "experts" - to help come up with solutions, instead of relying on a single "generalist" model.
They're called multimodal LLMs and DeepSeek did not "pioneer" them at all.
Memory costs around $2 per gigabyte right now, probably a little more for GDDR7, so Nvidia charges around $100 per extra gigabyte for the 96GB RTX Pro 6000, which is under the covers still an RTX 5090.
With a 4" display (no details) and up to a Ryzen 370 CPU, it's at least 60,000 times faster than the original version. It supports up to 128GB of RAM - a million times as much as the first Mac - and two M.2 slots, as well as two USB4 ports and two 2.5Gb Ethernet ports.
This supports up to 16GB of RAM, but apart from that is basically a 9070 XT cut in half, with the bus shaved down from 256 bits to 128, and the GPU chip itself reportedly cut from 64 GPU cores to 32.
I'm thinking of buying an RX 580 from Amazon as a backup video card. Everything I have - assuming anything still works - is truly ancient, because the last time I built my own PC was around 2013.
You can find a no-name model, new, for under $100. Given what Nvidia offers at that price, that's a great deal.
Musical Interlude
Disclaimer: I'm not the world's most quizzical guy, but when she told me her name you know I rolled my eyes...