ModelOS

Proof-of-useful-work. Merge-mined with Pearl, so you mine $MDL free. Every block is a real AI inference.

Discord:

[ModelOS @ModelosMDL]

ModelOS is live!

Point your rigs at our pool and start mining $MDL. Merge-mined with $PRL for double rewards.

→ Mine: https://t.co/HA0lNodlnI
→ Discord: https://t.co/rOrozbnON4
→ Try inference models: https://t.co/yFBXkQ3HGQ

A milestone for decentralized inference. Thanks for being here early.

[ModelOS @ModelosMDL]

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.

[ModelOS @ModelosMDL]

@wngjnqu41086506 Check out dCloud later and you can choose not to mine, also it's merge mining with PEARL not just a standalone.

[ModelOS @ModelosMDL]

$MDL is now listed on SafeTrade.

A new step for ModelOS as we continue building a Proof-of-Useful-Work Layer 1 for GPU mining, AI compute, dCloud, and future inference utility.

https://t.co/L2tnYorxrn

[SafeTrade Exchange @safetrade]

https://t.co/6lz9uQgAD1

We are pleased to announce that $MDL is live on Safetrade !

https://t.co/bL9xg8B3xl

[ModelOS @ModelosMDL]

@jhblackburne0 https://t.co/kQJxE96g1p

Please visit our website, thank you

[ModelOS @ModelosMDL]

Drop your questions in our discord: https://t.co/WygF3X6HQM

[ModelOS @ModelosMDL]

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.

[ModelOS @ModelosMDL]

@renying7649437 we will build and hopefully we catch some of the big boys’ attention. Then you will be glad to have been mining 🤝

[ModelOS @ModelosMDL]

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.

[ModelOS @ModelosMDL]

Fair question, and mining was only step one. Quick answer on the demand side:

The token isn’t just a miner reward, it’s the payment rail for inference. Users pay $MDL to run models through the network (chat + API), and that’s live, not theoretical. Next we’re rolling out hosted inference, GPU pool rental, and sharded hosting, so demand scales with actual usage of the compute, not just mining.

If you want to go deeper, jump in our Discord, team’s always happy to get into the details.

[ModelOS @ModelosMDL]

@GamerGuyz5 You posted your trade way before we announced it was safe to do so. Why did you use the OTC before testing was over…?

DM us, we’ll get you covered but let’s hope there is a lesson here.

[ModelOS @ModelosMDL]

OTC is live. $MDL is now tradable.

Pay in:
→ USDC or USDT on Base, Arbitrum, Ethereum, BNB, Solana
→ BTC
→ Pearl ($PRL)

https://t.co/2UvHcxU5tZ

[Pete @Pete_delta]

Found a very early project, right in the most bullish narrative right now.

An L1, a fork that improves on @prlnet, built by @ModelosMDL.

Here's the part that makes it different: Modelos turns mining into real AI work. Run the vLLM miner and your GPU is serving actual model inference while it mines, the same compute that secures the chain answers real prompts. The work isn't wasted hashing, it's useful output someone can pay for.

Why it's interesting if you mine:
🔹 Merge-mined with Pearl. Already mining $PRL on a GPU? Point the same card at $MDL and mine both at once. Same hashpower, no extra cost, second coin.
🔹 Two incomes from one GPU. Block rewards plus inference fees for serving models. Miss a block, your card still earns answering prompts.
🔹 Fair launch, no team allocation, no VC bags. 21M cap, Bitcoin's number on purpose.

Heading in discord that several major Pearl pools are already planning to add dual mining with MDL, so distribution is about to widen fast.

Network just crossed 200 PH/s and it's still early. Not trading yet, but OTC is coming soon.

Site: https://t.co/HMcZVvtHmU
Whitepaper: https://t.co/9qY9iwtmQg
Discord: https://t.co/UC2xcgCFpo

$MDL

[Stevey @Steveyonsol]

Most crypto mining is simple: burn electricity for one reward.

MDL changes that.

With one GPU, you can:
✅ Merge-mine Pearl and MDL at the same time.
✅ Earn two streams of rewards instead of one.
✅ Support a network focused on decentralized AI inference—not just another speculative token.

What I like most is the launch approach.

No VC allocation.
No massive insider unlocks.
No expensive ASIC advantage.
Just GPUs securing the network while helping build infrastructure for AI workloads.

As AI demand keeps growing, compute becomes one of the most valuable resources in crypto. Instead of letting GPUs sit idle, MDL puts that hardware to work while still allowing Pearl mining through merge mining.

If you’re already mining Pearl, it’s worth asking yourself:
Why settle for one reward when your GPU can earn two?

That’s a much more interesting future than another copy-paste mining project.

@ModelosMDL #MDL #GPUmining #CryptoMining #AI #Pearl

[PRO Майнинг Беларусь @PROMiningRB]

НОВАЯ МОНЕТА ModelOS (MDL) — Майним Одновременно с Pearl! https://t.co/0oq8VukAgy через @YouTube

[ModelOS @ModelosMDL]

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.

[Red Panda Mining @RedPandaMining]

EARN more money with Merge Mining Pearl & ModelOS! https://t.co/F5pEeL86Uj $PRL $MDL

[ModelOS @ModelosMDL]

@daniel_sats Good read 🔥

[ModelOS @ModelosMDL]

@jinshihedui Many of the big PRL pools have already integrated us. You basically get both tokens instead of just getting PRL.

[ModelOS @ModelosMDL]

New milestone: the ModelOS network just crossed 200 PH/s

We've had a lot of interest from miners looking to leave PRL-only pools to dual-mine MDL + PRL, so expect this to keep climbing over the next few days. Still early.

What's coming:
→ OTC website, real soon
→ X content contest just opened. 1000 MDL in prizes. Details in our Discord: https://t.co/snFui9WTb3
→ Always open to collabs, PRL pools, OTC, CEX. DMs open
→ A campaign to test our decentralized inference

We're just getting started.

[ModelOS @ModelosMDL]

@bi_lao37907 RTX 5070 Ti can mine.

It is merged mined with PRL, yes. Some of the biggest PRL pool have already integrated MDL.

All info in this tweet. Join our discord!

https://t.co/qNIJOzaqYR

[ModelOS @ModelosMDL]

ModelOS is live!

Point your rigs at our pool and start mining $MDL. Merge-mined with $PRL for double rewards.

→ Mine: https://t.co/HA0lNodlnI
→ Discord: https://t.co/rOrozbnON4
→ Try inference models: https://t.co/yFBXkQ3HGQ

A milestone for decentralized inference. Thanks for being here early.

[ModelOS @ModelosMDL]

👀👀👀

[ModelOS @ModelosMDL]

New milestone: the ModelOS network just crossed 200 PH/s

We've had a lot of interest from miners looking to leave PRL-only pools to dual-mine MDL + PRL, so expect this to keep climbing over the next few days. Still early.

What's coming:
→ OTC website, real soon
→ X content contest just opened. 1000 MDL in prizes. Details in our Discord: https://t.co/snFui9WTb3
→ Always open to collabs, PRL pools, OTC, CEX. DMs open
→ A campaign to test our decentralized inference

We're just getting started.

[ModelOS @ModelosMDL]

@itzMahlex send a dm we can discuss