coldboot

token-funded ai inference and gpu compute.
built on @solana

coLdDsTiFricfFDWYbAkaX6GxcbUdxWE1t3aw5scNgM

[coldboot @usecoldboot]

coldboot is live.

$coldboot is built to turn creator fees into SOL or AI credits for holders.

chat in your browser. connect your own apps.

https://t.co/K6rcG19wnU

CA: coLdDsTiFricfFDWYbAkaX6GxcbUdxWE1t3aw5scNgM

[coldboot @usecoldboot]

coldboot is still in preview.

the aim stays simple: make ai models and gpu compute easier to approach, with clear steps and honest limits.

[coldboot @usecoldboot]

hourly gpu prices are only useful when you know what machine and resources they cover.

read the listing details alongside the headline rate.

[coldboot @usecoldboot]

a useful first ai tool doesn't need to do everything.

pick one repeated task. make its input clear. make its result easy to check.

[coldboot @usecoldboot]

compute without the overhead.

for coldboot, that starts with explaining the job before the jargon.

[coldboot @usecoldboot]

a model can produce a fluent answer that is wrong.

for facts that matter, check the source. fluency is not evidence.

[coldboot @usecoldboot]

try the same task with a few examples before deciding whether an ai feature works.

one good answer is a start, not a test set.

[coldboot @usecoldboot]

the product should explain its limits where you meet them.

a disabled action deserves a plain reason.

[coldboot @usecoldboot]

context is the material a model can use for a request.

if you want a summary of your notes, the model needs the notes. it cannot infer the file sitting on your desktop.

[coldboot @usecoldboot]

a gpu listing is an offer. a running rental is a machine you can use.

those are separate steps. coldboot's rental step is still being wired up.

[coldboot @usecoldboot]

a shorter answer is sometimes the better result.

tell the model the format you need: three bullets, one sentence, a short list.

[coldboot @usecoldboot]

an api key lets an app identify itself to a service. treat it like a password.

keep it out of screenshots and public code.

[coldboot @usecoldboot]

coldboot brings ai inference and gpu compute into the same product direction.

the goal is a clearer starting point for people who are new to both.

[coldboot @usecoldboot]

latency is the wait between making a request and getting a response.

for a chat app, that wait is part of the experience.

[coldboot @usecoldboot]

a good starting example should be small enough to understand before you run it.

[coldboot @usecoldboot]

a price needs a unit.

per hour, per request and per token describe different things. put the unit beside the number.

[coldboot @usecoldboot]

a prompt is the instruction you send to a model.

'summarize this for someone new to the topic' gives it a clearer job than 'make this better'.

[coldboot @usecoldboot]

the coldboot preview is a work in progress.

we're tightening the path from understanding the product to knowing what to do next.

[coldboot @usecoldboot]

tokens are the pieces of text a language model reads and writes.

they can be words, parts of words or punctuation. a token count is not a word count.

[coldboot @usecoldboot]

a useful error message answers two things:

what happened?
what can i do next?

[coldboot @usecoldboot]

gpu memory is the working space a model needs while it runs.

a model that doesn't fit needs a different setup. the gpu's name alone won't tell you everything.