"On CoreWeave, renting an Nvidia A100 40GB — one popular choice for model training and inferencing — costs $2.39 per hour, which works out to $1,200 per month. On Azure, the same GPU costs $3.40 per hour, or $2,482 per month; on Google Cloud, it’s $3.67 per hour, or $2,682 per month."
Am I missing something? I am sure I'm a bit rusty in math, but I can still handle a calculator. ~720 hours in a month (roughly), and that means CoreWeave would cost $1,720.80 per month, Azure is $2,448 per month, and Google Cloud is $2,642.40 per month.
Why are all of these numbers reported in the article off? Some slightly--Azure and Google Cloud are close, but CoreWeave is off by about 30%. I won't go further into the numbers as to why the author came up with these results, but I'm just wondering if this article was written by AI, which would explain why basic multiplication is incorrect.
First, "better" is so subjective that it almost becomes a moot point.
Second, a single counter example disproves it.
You don't think Ronaldo has entertained millions of kids around the world and made them very happy to watch him play? I would say that is a good thing.
I've been using what is essentially a single sticky note (Raycast floating notes feature) for a year now and it works great. I put todos, meeting notes, ideas, and everything else in there with zero organization. When I want to remember stuff I read it. When I finish stuff I delete it. Has worked for me better than Notion, Obsidian, Reminders, Tick Tick, etc.
I've found that for productivity tools, there is an inverse correlation between time it takes to setup and how effective it is.
Hey HN! I put together a quick tool for summarizing the SEC filings and earnings calls for publicly traded US Equities!
There's lots of information in these documents that aren't easily accessed without reading dozens of pages of text. Quill lets you quickly extract the relevant bits!