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Comment by caymanjim | Hacker News Reader

This article appears to lack any reason for "needing" this beast, or any real comparison with alternatives, both of which are required to answer the question posed in the title. It's a summary of how much they spent and some light anecdotal comparison to what they might have spent on cloud services, but clearly they didn't do an exhaustive hunt for value.

The real question is whether or not they could have done whatever it is they did with less hardware. Is there a business idea here that could have been proven on cheaper hardware that could be upgraded as demand increased? Is the expected ROI there based on future earnings?

Absent any indication that this was needed in the first place, I can only conclude that it wasn't worth anything.

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At the end of the article, the author has this to say:

> UPDATE: Launch was a success! 400K+ views, and multiple companies reached to use my IP. Read more here[0]

[0]https://rosmine.ai/2026/05/18/fixing-llm-writing-with-distri...

Post-hoc justification. There's no analysis of whether that level of hardware was necessary to launch, only that they did get that hardware and did launch.

Looking at the GPU utilization graph, it certainly seems like the hardware was saturated for many days/weeks on end.

Was it worth it to spend that amount up front, yak shave while building the system, etc. vs. pay for cloud GPUs? Probably not in terms of dollars, when their time is also valued in dollars.

Was it worth it for this person? It seems, unequivocally, yes.

Their more recent post seems to suggest it was worthwhile. https://rosmine.ai/2026/05/18/fixing-llm-writing-with-distri...

Abstract/TLDR: LLMs are notoriously formulaic at writing, overusing certain tokens or phrases. I show that models trained with SFT fail to match the distribution of the training data by using Maximum Mean Discrepancy (MMD), Judge Model Quality (JMQ), and L2 Token Distribution.

Idk if this turns into revenue or some financial metric but even if it does and it was a good outcome for author, it still says nothing of risk. What if he loses his timing opportunity / gets beat to market because he's unnecessarily futzing around with hardware? AI is rapidly advancing and he spent 2 years on this to save what was probably <2 months of faang income. There's multiple other angles I could dissect this from a risk perspective. I'm all for taking risks, but at least acknowledge them and preferably measure them as part of making big decisions like this to save a little bit of cash.

Let’s be clear, though, FAANG (as someone who has spent an awful lot of my life working at FAANG) was pays well but crushes your soul. There was a time, a very long time ago, where it didn’t, and there are the soulless soul crushers that love it there, but I would rather futz around with a mid range cars worth of hardware and be happy than spend a moment longer prostituting my soul for their money.

There was a time in this industry that it paid about as well as an accountant and people did it because they loved what they did. Then the money flooded in, a bunch of people switched majors from business to CS, washed out in industry, got their MBA, and became product managers and engineering managers and sucked all joy from it. God bless those that find that joy again.

> would rather futz around with a mid range cars worth of hardware and be happy than spend a moment longer prostituting my soul for their money.

So only 2 options in this profession are 1) sell your soul to 1 of 5 evil corporations that just so happen to also pay excessively well or 2) choose to be unemployed for years while spending a significant amount of money on hardware trying to turn a hobby into a business

Also by your reasoning, these GPUs are blood diamonds and the authors future product/business should warrant preemptive boycott by all the perfect people like you

That is like saying my new restaurant was a success, therefore powering it with a generator was better than connecting it to the grid.

The raw infra being local didn't enable any of that. Now if was building ASICs at TMSC that would a different thing because you'd then be using something different locally.

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