Which model class requires an 80 GB VRAM GPU? From my perspective, popular models seem to be either in the ~30B range (Qwen3.6, Gemma 4), while the larger models (MiniMax, MiMo, StepFun, Deepseek) are in the multiple hundreds of billions parameters, for which 80 GB is simply too small.
You can just about reach the lower end of the latter category with a 128GB machine like a DGX Spark, Framework Desktop, or M5 Max, though those are usually not super fast. For the former category, you can easily run them fast with something like a 3090 or 5090, hell, probably even a 5060 Ti.
This is true. There's not much point in buying only one RTX 6000. You need at least two to run anything interesting that you couldn't run on a 5090. And you can imagine where it goes from there.
Yes if you want to. Routers are a necessary abstraction from the IPv4 days and seems it will stick around for a long time, and we need solutions sometimes around those topologies.
We are at the point where AI starts to seriously impact abilities. Sure, a 2 line CSS fix is the solution, but the human “behind the wheel” has already prompted 6 times and gotten 80% there. It’s been “easy” thus far. No shot they are going to FINALLY look at and edit the code. It’s just one more prompt and the agent will probably fix it, right?
It’s wild. I’ve been in the situation. 80% into a project I COULD probably take over, but realistically? 2 more lines of me prompting could fix it, it’s too easy to avoid the hard work of understanding the code, logic, architecture, etc…
Well the solution is incorrect. The problem seems to be that the css code does not normalize to box-sizing: border-box; among other things. The bad prompt by the author probably sent fable into the wrong rabbit hole
I dunno about beginner, I've been doing HTML+CSS for a few decades and I still find bugs where Safari differs from Chrome+Firefox pretty hard to figure out.
Wouldn't it be easier and better to just copy the HTML div and tell what was happening instead of a screenshot? Typically, these scrollbars appear because of a nested div with dynamic unrestircted width and/or overflow.
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