These “makeshift” structures are housing hardware that costs millions of dollars in total.
“Putting AI servers inside tents, officially called “rapid deployment structures,” is one of the more unique approaches to the AI build-out, Thomas said. They’re certainly not as sturdy as physical buildings made from steel and concrete, with one commenter comparing it to the “classic $10k racing bike with a $9 lock” situation.”
Please stop using AI, please.
If you’re required to use AI for your job, then sabotage the efforts.
I beg of you.
It’s not even necessary. It will come down on its own. Recent reportings in my company says we’ve increased our productivity by 10℅ while the number of defects rose by 40℅. And the cost increases with every month. It’s unsustainable.
I have been, by focusing on enabling team members to use it exactly like how leadership wants. You want them to use more AI? Okay… they need Agentic harnesses that can do work for them locally. They need MacBook Pros to run the models. They need cloud keys to test different frontier models for different loads. They need governance, observability, repeatability, scheduling, human-in-the-loop…
I’m going to show them that anyone can build a bridge, but only an engineer can build a bridge that barely works. On top of that, I’m going to show them that they’re wrong in believing they want a bridge. All it should take is seeing that they got exactly what they wanted without getting anything that they wanted.
I’ve been cruising with the most expensive model at work for a while now. After github’s pricing model change they finally asked us to be more conscious about which model we’re using (which was hilarious after we were constantly asked to use more AI), but eh, it’s easier to just leave it on Claude 4.8. I figure eventually the costs will catch up with the company.
Make sure to use max reasoning for better results!
And more time to relax while it is “kajiggering…”
wouldn’t it be easier to sabotage tents with data farms in them