aws
174 posts


Sometimes it is easier to rent a model than renting a GPU, we have simplified the process 3X here. If you need more models just ask
subnet.gpu.net/dapp/models
In this way, you only have to pay for the inferencing tokens spent and not for GPUs rented, which could be all the time even if your product usage is low.

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🚨Milestone Unlocked: 500,000 $GPU Bought Back 🚨
Two months later, we have bought back another 250,000 $GPU now totalling:
💠 107K on Base
💠 393K on Ethereum
$GPU is now live & trading on 3 chains:
🔗 GANchain L1: native token $GPU
🔗 Base Contract: 0xcb9Fe0F506702e125843BCef0Fc8123a44bb11a7
🔗 Ethereum Contract: 0x79D464248516Bc6977cA2069ba15d8D1044479D8
The Buybacks and completed transactions will be shown with timestamps on GVEX.

GPUNET@gpunet
🚨 Milestone Unlocked: 250,000 $GPU Bought Back 🚨 Over the last 2 months since TGE, our Datacenter team has completed a fully on-chain buyback of 250,000 $GPU: 💠 50K on Base 💠 200K on Ethereum $GPU is now live & trading on both chains: 🔗 Base Contract: 0xcb9Fe0F506702e125843BCef0Fc8123a44bb11a7 🔗 Ethereum Contract: 0x79D464248516Bc6977cA2069ba15d8D1044479D8 100% transparent. 100% on-chain.
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aws retweetledi

Exploring the GPU Verified Exchange (GVEX) on GPUnet | EP52 youtu.be/j4gQvufx0tc?si… via @YouTube
@gpunet @ssurajchawla

YouTube
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It is Unbelievable. The wick last night liquidated every single perp trader. Even on 1X leverage.
Leverage became a part of our lifestyle. Born in middle class, in 1980's we saw 1-2 choices for every single item - car, biscuit, oil, flour, etc.
Born in crypto in 2018, we saw major coins and by now all of us haave crazy information and crazy options to trade on. Most of us sitting on cross leverages.
Leverage became Lifestyle.
Now we are at war, with those who can wipe off your year's earnings in minutes. What will we do?
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aws retweetledi

We are hiring a perps engineer who lost everything in the bloody wick last night, 10x coder with prev deployment experience of defi smart contracts, orderbooks, funding rate and liquidations with a keen hunger for maximising the user experience, send your git repo to keerthana@gpu.net asap!
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aws retweetledi

Yesterday was a crazy day for all of us - what can we do for you? we have gpu and models on dapp.gpu.net so we are giving away one random guy full rebate on whatever compute he uses for the day. Full. Go Crazy!

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I cannot explain the work effort,
That goes behind the scenes,
Collating 5 of our products into Super,
This super backend will have unified auth,
and form the basis for web app products,
Mobile app and agentic MCP to come.
Team is working non-stop and has a roadmap of over a year with all the layers;
- native blockchain GANchain
- native coin GPU direct onramp/offramp
- native Feed, inhouse social media
- native dex, Gvex for all liquidity
- native compute, aggregated from DCs
- native AI models and applications
- native subnets & tokenization
This shall form the basis of unleashing AI x Markets for a 4T industry. We look forward to our dearest community using these and keep sharing feedback towards making it the best.
$GPU
GPUNET@gpunet
🟧🟧🟧🟧🟧 🟧🟧🟧
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$GPU is a beast, most VCs were bought out at a premium using pre-launch revenue; we were given two choices:
1️⃣ Full $USDT payout with a huge bonus
2️⃣ Claim $GPU on mainnet with vesting
Most took the instant payout, the true believers stuck with vesting. 💯
The raise was for 5m, and 90% of VC buyers chose the instant payout with very generous bonus! 💸
@ssurajchawla did something unheard of, by offering this payout he was able to weed out anyone who planned on dumping by giving them what they wanted on day one! 🔥
I can say with certainty any large holders are true long term @gpunet bulls, because they chose the original 11 month vesting with no bonus. 🤝
Now anyone who holds large amounts of @gpunet is a long term bull, and there will be no sell pressure as tokens unlock! 🫡
How did he get the money though?
#GPU rentals were live long before TGE, and he was able to generate (from what I’ve heard) around 10m by renting out compute to commercial and enterprise clients before TGE. 🌐
So he took the 5m from the raise which happened years ago, then he bought a substantial amount of GPUs at a discount before the #AI boom when $ETH switched over from POW consensus to POS! 🧠
This gave @ssurajchawla the ability to buy huge amounts of #GPUs at a substantial discount, because there was a tonne of supply and no demand to match it. 📊
In other words he predicted the future, he bought huge amounts of compute at a discount; knowing that the demand for compute was going to come, and that’s exactly what happened. 🤯
Suraj then built a huge customer base by offering compute to clients at a significant discount. He still provides compute for significantly lower prices than competitors; by building his business where they have cheap electricity he lowers overhead costs drastically! 🔌
The demand came quickly as #ArtificiaIIntelligence started to scale, and the business model was a huge success, allowing the company to make around 10m $USD prior to TGE. ⚡️
This is how @ssurajchawla was able to come up with the funds to buy out most VCs by offering gains up front with no vesting in the form of $USDT. This means that there’s already a successful business model generating revenue, with no sell pressure. 💥
Anyone who owns $GPU right now turned down the buyout to stick with 11 month vesting, meaning they are both bullish and committed. If they weren’t they would’ve gone with the generous payout that had 0 vesting! 💵
There’s also already a successful business model that generates significant revenue, in an industry that’s already seeing GPU shortages as #AI scales exponentiallY; requiring more and more compute power by the day. 📈
So when the $GPU buybacks begin, there won’t be any VCs to dump, they already exited with instant profit. The ones who did hold see the same thing I do; a CEO who’s so bullish he bought out VCs because he knows the shortage is coming.. 🖥️
They can’t build GPUs as quickly as AI is scaling, many are already facing 3-6 month waits on new GPU orders, especially the more powerful and expensive models. This will lead to an inevitable GPU bidding war! ‼️
The ones with the GPUs will be the ones who decide which businesses scale and which cease to exist; as they start offering double then triple the price just so they can operate their businesses. 💰
gojira GPU@gojira_gpu
BREAKING: $GPU has flipped $BNB & $HYPE in 30d gains, growing over 63% since august. Experts say this is the most bullish coin in the AI & GPU category.
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@Crypto_Colombus I'm really comfortable with the GPU reaching 100M MC.🚀😉$GPU @gpunet
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aws retweetledi

$GPU CMC Rank is currently 1600 or so.
But we will strive harder and reach Top100:
🟠 Overall, we have a great product stack dapp.gpu.net aggregated compute from world's top datacenters.
🟠But we lack marketing, or a truly strong community like we saw of $DOGE forming in 2021.
🟠In past 3 months since TGE, we have 5Xed our marketing presence; 3X more views here, Physical events, and new growth on YT/Insta.
🟠Next 3 months we shall do another 5X from here! That brings us to 25X. Beyond this need clear onchain revenues to grow 5X.
🟠Dapp did 20,000$ in onchain revenue over last 3 months, our growth has been mostly on enterprise side till date.
🟠Once we hit a million monthly onchain revenue, we are guaranteed to fly beyond Top100.
On it.

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🚨 Subnets Explained: Earn $GPU While You Build 🚨
On @gpunet, anyone can launch a subnet.
Think of it as your own app-specific lane for AI models, bots, agents, or infra services etc.
Even if you’re just starting out, your subnet earns daily $GPU from the protocol’s reward pool. All you need to do is:
1.Launch your subnet > subnet.gpu.net
2.Stake $GPU
3.Attract votes → emissions + fees flow to you and your contributors
It’s like starting a project where base income is baked in, and upside comes as users adopt your product.
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