AION owns and operates GPU compute infrastructure for AI, offered through fractional hardware ownership https://teapawt.net/t.co/C8nozjhFT0 https://teapawt.net/t.co/S8fX5IH0cQ
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Next week: what a new GPU generation actually does to the ones already working.
Tuesday on Medium.
Before then: how long do you think a GPU stays useful for AI work? Give us a number of years.
📖 What Keeps a GPU Rented
medium.com/@aioncloud.io/wha…
📖 October’s Questions, Answered
medium.com/@aioncloud.io/oct…
🎬 AION in 60 seconds
youtu.be/pwzrwbA9xt8
Hot take: the best marketing a GPU fleet can do is a boring uptime log.
No launch video beats "it was up all month."
Agree, or are we underrating the launch video?
Our week, in four lines:
Mon: the next card arrived (B300).
Tue: six things that keep a GPU rented.
Wed: which lever you pull when a GPU sits idle.
Fri: your questions, answered.
What should we dig into next?
A GPU isn't a purchase. It's a job.
Racked, powered, listed, matched, monitored, fixed, re-listed. Every week it works, someone is doing that work.
The card is the easy part.
Which part do you think people underestimate most?
One of the questions we get most: "What happens when my GPU gets old?"
Short version: it depreciates, like all hardware. At end of life, holders of 75% of its Fractions choose: replace it with equal or better hardware, or wind it up and split what's left.
No claim on resale value. Ever.
That answer, plus four more of October's most-asked questions, on Medium tomorrow.
Yesterday we asked: your Device sat idle for a week. Which lever first?
Here's how we'd play it:
D first. Check it's healthy. No point repricing a card that's throwing errors.
B next. List it somewhere new. We treat an idle week as a reach problem before a price problem.
C after. Chase a longer booking so the gap doesn't come back.
A last. Only drop the rate once the first three are done.
Cutting price first is the fastest way to sell cheap hours. Agree?
Your Device sat idle for a week. Which lever do you pull first?
A: drop the rate
B: list it somewhere new
C: chase a longer booking
D: check it's actually healthy
Reply with a letter. We'll share how we'd play it.
Lever up close: where it's listed.
Renters book compute where they already work. A GPU behind one door waits. A GPU behind several gets found.
How many places does a Device need to be listed before it's "everywhere"?
Renters remember the job that died at 80%.
Reliability never shows up on a rate card. It shows up in who books again.
What's the one thing that would make you never rent from a provider again?
What Keeps a GPU Rented.
1. Where it's listed
2. What it's matched to
3. Whether it stays up
4. How it's priced against the market
5. How long the bookings are
6. How fast it comes back
None of it is on a rate card 👇
medium.com/@aioncloud.io/wha…
Sunday we asked: rate, fees or hours. Which one moves the most?
[Most of you said hours]
Our answer: hours. The rate is what a renter pays for one hour. Hours are how many of those a Device actually sells.
A great rate on an empty month is still an empty month.
Tomorrow on Medium: the six things that decide the hours.
