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@dac_chain

[Step01free @Step01free]

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@ryfinite Ready 🙂☺️

[Yakkamon @yakkamon_game]

We are getting closer to the free mint reveal - the legendaries are getting ready ⏰

To celebrate this launch, we are giving away 10 Yakkamon Eggs.

To be eligible make sure you follow, like & repost! ❤️

[Step01free @Step01free]

@ryfinite Gm

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@ryfinite Damm

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[Step01free @Step01free]

I'm joining the @yneraxone Early User Campaign 🚀 $150K in rewards → https://t.co/fp18CZuQNG

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[Step01free @Step01free]

I'm pre-registered for the DAC mainnet launch. Mission card in hand — see you at the gate. @dac_chain https://t.co/GeQZzhvC6T

[RAX Finance @RaxFinance]

Every major technology wave creates new forms of infrastructure.

The internet created data centers.

Mobile created cloud infrastructure.

AI is creating demand for computational capacity.

GPUs, energy, and data centers are becoming critical inputs of the AI economy.

The next financial markets may not only trade assets.

They may trade access to the infrastructure powering them.

[RAX Finance @RaxFinance]

A permanent framework is moving closer.

When the rules get clearer, capital usually gets more comfortable showing up.

The RWA ecosystem stands to benefit most if that shift continues.

Via @a16zcrypto

[RAX Finance @RaxFinance]

Compute and energy are becoming increasingly inseparable.

Every additional AI workload requires more than GPUs.

It requires electricity, cooling, networking, and physical infrastructure.

As AI demand grows, access to reliable power may become just as important as access to compute capacity.

In the AI economy, megawatts and megaflops are becoming two sides of the same equation.

[RAX Finance @RaxFinance]

AI compute is not priced by hardware alone.

The economics depend on a combination of:

• GPU supply
• Workload demand
• Utilization
• Energy costs
• Capital efficiency

As AI infrastructure scales, understanding these variables becomes increasingly important.

Because the next compute opportunity may not be about owning more GPUs.

It may be about understanding where demand is heading.

[RAX Finance @RaxFinance]

More GPUs don't always mean more compute.

Utilization matters.

A data center running 10,000 GPUs at 30% utilization has very different economics from one running the same fleet at 80%.

As AI workloads evolve, the value of compute will increasingly depend on:

• GPU utilization
• Workload demand
• Energy costs
• Hardware efficiency

Compute capacity tells us what exists.
Utilization tells us how much of it is actually being put to work.

[RAX Finance @RaxFinance]

🎁 The GPU Price Prediction Bonus Challenge is live!

Starting August 20, we’ll have 12 prediction rounds running through August 31.

Think you can beat the GPU market?

📌 Check the full details here:
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Keep predicting. Keep improving.

[RAX Finance @RaxFinance]

RaxFinance is teaming up with @SmartXTerminal 👀

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