Decentral

$DECENTRAL is live on Solana. 949aaReg5QnEKbde41BBj5Z45uU2Y8yhB4bZaif4pump Decentral is a decentralized AI inference network on Solana that connects idle GPUs with people who need private, censorship-free inference. Prompts are encrypted client-side, jobs run on independent providers, and every payout and settlement lands on-chain where anyone can audit it. Learn more: usedecentral.org

@Unbre4k4blebob Thank you, we hope to keep impressing!

@usedecentralorg This gonna get huge. Digged into it and I’m impressed $DECENTRAL

We'd rather show than tell. Contracts public. Architecture documented. Commits land in the open, tests and all. If something we say doesn't match what the code does, you can see it yourself. That's the deal we want: verifiable. github.com/usedecentralor…

We just crossed 80 users! Small number, but real people. Every one of you is early to something we think matters, and the questions and feedback so far have already shaped where this goes. Thanks for being here at 80. Let's see where it goes from here.

What happens when you send a message on Decentral: Credits lock in escrow on-chain. The job routes to an eligible worker. It runs the model and streams tokens back. At the end, one transaction pays the worker from that escrow. No middleman holds the funds. The program does.

Decentral is one network with four ways in. Chat, if you just want private inference. Earn, if you have a GPU to put to work. API, if you're a developer who wants a drop-in endpoint. Explorer, if you want to audit it all on-chain. Same compute layer underneath. Pick your door.

Right now millions of GPUs sit idle while people are told AI compute is scarce and expensive. Decentral closes that gap: connect the compute that exists to the people who need it, price it in the open, let anyone join either side.

@Sanizor_05 There will be an article coming on the utility for $DECENTRAL!

@usedecentralorg Is Telegram channel coming, and what is the token purpose?

The goal isn't a better AI company. It's making sure using AI never requires anyone's permission. Open models on independent compute, settled in public. No gatekeeper deciding what you can ask, no single provider who can turn you off. That's the whole point of Decentral.

@CPX007007 Thank you!

@usedecentralorg Very impressive AI inference project and your GitHub coding activities are really great and high quality one,🧡👏

@2147_Million Thank you for the support!

Just going to point out some cool tech projects I see unbonded, of course $ATLAS is one of my favorites and I think will do extremely well: $DECENTRAL @usedecentralorg - another private AI / AI inference project with a stacked github and been building for about a week now. $VEYRA @Veyra_OS - Agent OS / Agent execution system. One of the best websites I've seen in my life. $SAGENT @AgentOS_Inc - probably the most slept on of the group. Insanely stacked git (on v6). In talks with African governments. With just one prompt, Super AgentOS complete tasks end to end on automation in the NL Studio or using the Workflow terminal or the Coding for manual developers.

We're live now! Join the stream to see the development behind $DECENTRAL up close, hear the roadmap, and ask us anything. pump.fun/coin/949aaReg5…

We're going live on @Pumpfun in an hour! Livestreaming the actual development, walking through the roadmap and where we're taking Decentral next, and answering whatever you want to ask. Come see how a decentralized inference network gets built, in real time. See you there. pump.fun/coin/949aaReg5…

Second test suite this week: the reward-distributor. Checks what must not break: USDC lands in the vault on epoch open, a claim pays the right pro-rata share, a wrong epoch id rejects, a double claim fails. Money math deserves tests that break it. github.com/usedecentralor…

New commit: a full test suite for the job-router. The tests that matter most are the ones that should fail: posting against an escrow you don't own, claiming a taken job, cancelling someone else's. Each must reject correctly. The bad path is the work. github.com/usedecentralor…

The quiet advantage of open models: they keep getting better and you don't pay for the upgrade. When a stronger open model ships, providers serve it and you use it. No vendor keeping you on last year's version until you pay more. The ceiling rises on its own.

Cheap inference for easy stuff, strong models for hard stuff, and you pick per request. Most platforms push one expensive default. On Decentral the model menu is yours: send a quick question to a small model for a fraction of the cost, save big models for when they earn it.

Inference gets streamed, which makes billing interesting. You don't know the final token count until the response finishes. So metering happens live as tokens flow, and a single settlement lands at the end against the escrow that was locked up front. One transaction per job, not per token.

@TheTanjiro69426 Yes! Editing now.

@usedecentralorg Bro are you preparing demo?

A small implementation detail we care about: the reward math runs in u128. When a staker claims their epoch share, the program multiplies their stake by the pool before dividing by total stake. Do that in u64 and a large pool overflows. So we widen to u128 for the multiply, divide, then narrow back, and reject anything that rounds to zero.

@joshuamg0104 Already recorded! Editing it.