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dCloud is going live today. We invite everyone to explore what it is, how it fits into the ModelOS ecosystem, and why it matters for the future of blockchain-based AI compute.

Introducing dCloud - the next utility layer for ModelOS Mining was step one. With dCloud, ModelOS is moving toward a decentralized AI compute layer where GPU operators can do more than mine blocks: they can help power open model hosting, inference, GPU rental, sharded model serving, and future community-owned training. ModelOS = Proof of Useful Work + AI infrastructure Open models. Open compute. Miner-owned infrastructure.

We're now on all the biggest Pearl pools, merge-mining MDL with pearl-2:native. Network hashrate just hit 22 EH/s, which makes Modelos extremely stable and secure. Now we're building the next big thing: a plugin that turns idle compute into a decentralized inference and training marketplace. In testing now: → Inference hosting: run any open-source model on your hardware, serve requests, get paid → GPU pool rental: contribute spare capacity to a shared pool, earn based on usage → Shard hosting: not enough VRAM for a full model? Host a piece of it alongside others → Decentralized training: contribute compute toward training a shared model, collaboratively, from genesis → The first fully community-trained model, no centralized infra, just distributed contributors Mining was step one. This is step two.

OTC is live. $MDL is now tradable. Pay in: → USDC or USDT on Base, Arbitrum, Ethereum, BNB, Solana → BTC → Pearl ($PRL) otc.modeloslab.xyz/

This is exactly the kind of walkthrough new miners need to mine MDL. Huge thanks to @RedPandaMining for putting this together. If you’ve got a GPU and you’re curious how Modelos works, start here.