Rui Carmo
This is an intriguing proposition, especially for those who live and breathe data science and AI. At $3,000, it’s not exactly pocket change, but the specs are impressive—200 billion parameters and a petaflop of performance packed into a desktop unit. I’d love to get my hands on one.
The idea of linking two units for even more power is appealing, but it raises the question: how many hobbyists or researchers really need that kind of horsepower? Sure, it’s great for prototyping and fine-tuning models, but let’s not forget that the software ecosystem is just as important as the hardware. If Nvidia can deliver a seamless experience with their AI stack, they might just have a winner. Otherwise, it could end up being a very expensive paperweight for those who don’t have the right use case.