Join 800,000+ people sharing & earning with their GPU power to form an AI inference-focused global DePIN - powered by GamerCoin $GHX ⚡
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"My brother has one of these in his bedroom."
The kid has a point. Plenty of the cards running inference for @deAPI_ sit in bedrooms too, and the Earn Module in GamerHash AI gives them jobs while their owners are away, paid out in GUSD.
The whole heist came from one MiniMax H3 prompt. H3 runs in the app too, so your own card can shoot the sequel for free.
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"Forever in Her Heart" is a memorial ballad for a grandmother and the two grandsons she lost.
Someone wrote it on Boppy. The song ran on our dePIN network, on graphics cards owned by GamerHash AI users with the Earn Module switched on.
Write your own at boppy.me. It's free.
Powered by @deAPI_
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Building management has filed a complaint against ethereum:0x728f30fa2f100742c7949d1961804fa8e0b1387d.
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"Made that this morning. On this."
One MiniMax H3 prompt made the whole clip, the rooftop duel and the bedroom it's playing in. Sound comes out of the same pass as the picture, so every block lands with its own clang.
H3 runs locally in GamerHash AI, so your card can make the next one for free.
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A good prompt is half the result, and with MiniMax H3 it counts for more than usual. The model was trained on a structured format with named fields and timed shots, and it works best when your prompt follows it.
We wrote a guide on how to build one: deapi.ai/blog/minimax-h3-pro…
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Every bottleneck in this report is a construction problem. Connecting a new site to the grid can take five years, and in a single quarter $98B of US data center projects were blocked or delayed by people who didn't want one nearby.
The consumer GPU skips the whole list. It's plugged in, it's cooled, the grid connection was settled years ago. Grayscale's thesis is that value accrues to owners of energized compute capacity, and that capacity is already sitting in bedrooms and offices doing nothing most of the day.
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Running a model locally usually starts with a spreadsheet in your head. Which quant fits in 12GB. Whether that 14B will OOM halfway through a generation. Someone on Reddit swears by Q4_K_M and someone else says that's exactly the wrong call.
GamerHash AI benchmarks your card once when you install it. After that, every model in the Model Center carries a badge telling you whether it runs on your machine. You pick one that fits and it downloads.
That's the whole setup. 8GB VRAM gets you in, and there's no cap on how much you generate.
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This shot used to need a night crew and a water rig. Now it needs one still image.
Image to video in GamerHash AI. Free.
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LTX-2.5 by @Lightricks is now live in GamerHash AI.
A cut between two shots used to mean two separate generations and an editor to glue them together. This one takes a wide and a close-up out of a single prompt, and the character wears the same jacket in both, lit the same way.
It runs on the card already in your PC, so the footage never leaves your drive and nobody meters how much of it you make. Oh, and it's free!
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GHXP Season is running.
Your points only turn into ethereum:0x728f30fa2f100742c7949d1961804fa8e0b1387d once you commit them. Up to 80% of what you've collected goes in, and how much you commit decides your place in the ranking. Every place carries a set reward, paid out when the month closes.
Whatever you leave uncommitted rolls into the next season, but it won't count toward this one.
Commit before the month ends!
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Full mechanic, from how points accrue to how a season is settled: medium.com/we-are-the-gamerh…
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Every AI company's plan for the next two years looks the same: more datacenters, more power contracts.
We started somewhere else. The hardware already exists, and it sits idle most of the day.
A card bought for gaming runs the same models a datacenter rents by the hour. It just lives in a bedroom instead of a warehouse in Virginia. GamerHash AI puts it to work when its owner isn't, and @deAPI_ sells that work to developers who need inference now rather than in eighteen months.
Most AI-capable silicon in the world was never installed in a datacenter.
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One still photo of a Japanese garden went into GamerHash AI. What came out has koi circling under the surface and leaves letting go, one at a time.
Image-to-video, running on your own GPU. Free, with no cap on how many clips you make.
Good AI stopped being a budget question a while ago.
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Nobody recorded that narration. H3 built the voice and the picture in a single pass, which is why the fan spins up exactly under the line about feeding.
Wildlife photographers point that lens at animals in the dark. This one is pointed at a machine doing inference at 3am in an empty room.
Ten seconds, one prompt, untouched afterwards. Your own card runs it free inside GamerHash AI, and if it can't, @deAPI_ routes the job to one in our network that can.
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Sit in one layer of the compute stack and you get squeezed from both ends. The structure that survives owns the hardware supply and the inference business together.
GamerHash AI and @deAPI_ are one system. One company sits between a developer's request and the card that runs it, where the usual count is three.
We built it that way in 2024. The written argument for it showed up this week.
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