X: you're selling RTX PRO 6000s for $199 a month?
Me: yep. Flat rate. Monthly. On packet·ai
X: the Blackwell one? 96GB?
Me: the DC edition. 96GB GDDR7.
X: that can't be right. Those things rent for $1.50-2.50 an hour everywhere else.
Me: I know.
X: so at 24/7 usage that's... less than 30 cents an hour?
Me: $0.27 if you want to be precise.
X: how?
Me: same answer as always. Multi-tenancy. hosted·ai runs the scheduling and overcommitment. Average VRAM usage across our GPUs is under 20GB. On a 96GB card, that's a lot of headroom.
X: so you're overselling?
Me: we're utilising. Airlines oversell seats. Cloud providers oversell CPU and RAM. We do the same with GPU - but smarter, because we actually measure and schedule it.
X: and the $199?
Me: it's the Digital Ocean moment for GPUs. Simple pricing. No calculator. No reserved instances. No "contact sales." You just pick a GPU and go.
X: who's this for?
Me: developers. Tinkerers. Small teams that need serious VRAM but don't want to deal with hourly billing anxiety. Fine-tuning, inference, dev environments - 96GB handles a lot.
X: what's the catch?
Me: limited nodes. We're not AWS. But what we have is real and it's running.
X: weren't you selling these at $0.66/hr before?
Me: we still do. But some people just want a flat monthly number. No surprises. Like renting a flat vs paying by the night.
X: you said you got 3 sales in the first hour last time
Me: before we were even ready. First deployment had to be handheld. That told us something.
X: what?
Me: that simple pricing wins. People don't want to do GPU math. They want a number they can budget for.
X: where?
Me: packet.ai/blackwell
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