Candicedio

[RAX Finance @RaxFinance]

AI companies have a compute problem:

Sign a 12-month GPU contract.
Need it for only 3 months.
→ $30K/month still gets burned.

40% of your reserved capacity sits idle.
You’re locked into the contract.
→ Capital stays tied up.

@RaxFinance is building a marketplace for tradable compute capacity.

Have 9 months of H100 capacity left?
Monetize the unused portion.

Need compute for a shorter period?
Access available capacity without committing to a long-term contract.

Compute capacity shouldn’t have to sit idle.

[RAX Finance @RaxFinance]

A 1GW AI factory is being described as a $50B -a-year rental machine.

Jensen’s CNBC numbers make the unit economics clearer:
• ~$50–60B to build
• ~$50B in annual rental revenue
• capital that can pay itself back on a very short cycle if utilization holds

That is why this is no longer just a GPU cycle.
It is power + chips + cooling + financing, packaged as a factory that sells compute by the year.

When the world’s largest compute company starts quoting AI factories in gigawatts and rental revenue, the asset is the factory itself.

Compute is becoming the scarce, cash-flowing layer underneath the entire AI buildout.

https://t.co/FTU9qT9Axv

[RAX Finance @RaxFinance]

2026: AI compute is becoming the next oil.

Just like crude oil has:
• Spot markets
• Futures contracts
• Regional benchmarks

@RaxFinance is building the same for AI compute:
• Collateralized lending (Vault)
• Trading marketplace
• Regional price index

Tokyo vs Mumbai: 2x price spread on GPUs
A trillion-dollar market is being born 🌱

Join the waitlist → https://t.co/0sXOt71OLm

[Candicedio @candice_fred]

看小说 我现在天天看小说 哈哈哈

[RAX Finance @RaxFinance]

RaxFinance is teaming up with @SmartXTerminal 👀

SmartX is the personalized social trading app for memes, perps, stocks, and prediction markets.

And we’ve got something special for the Rax community 👀

📝 Step 1: Box Hunt

Complete each Partner task to earn 5 Boxes!

👉 https://t.co/bMdxOHjgoZ

With Testnet approaching, this could be one of your last great chances to make a final push!

📝 Step 2: Complete the Survey & Win Rewards

🎁 Earn 5–10 additional Boxes for completing the survey.

🏆 The best answers to our open-ended question will receive an additional 2–10 USDT.

👉 https://t.co/xB5D44f8Zj

⏰ Campaign ends September 20, 2026.

Don’t miss the final sprint!

[Candicedio @candice_fred]

秋天来了 突然有点伤感啊

[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]

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]

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.

[Candicedio @candice_fred]

今天睡到中午才起来

[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]

🎁 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:
https://t.co/bUhQ39wXyN

Keep predicting. Keep improving.

[Candicedio @candice_fred]

好没意思的一天啊 无聊ing

[RAX Finance @RaxFinance]

🎨 RAX Cube Design Contest is back!

Same Cube. New ideas. 👀

This time, keep the text minimal — let your creativity do the talking.

🧊 Use the RAX Cube
✨ Add emojis, outfits, props, accessories, or anything you can imagine
🚫 Less text, more creativity
📅 Deadline: August 28, 11:59 PM UTC
📩 Submit your creation:
https://t.co/WZX6FQ79Vh

What will your Cube become? 👀

[RAX Finance @RaxFinance]

Stablecoins started as a bridge between traditional finance and crypto.

Now, they are becoming something more.

A new form of programmable capital.

The next question is not how stablecoins move.

It's how they generate sustainable value.

As on-chain finance matures, idle liquidity will increasingly seek efficient strategies.

Stablecoins are evolving from settlement assets into productive assets.

[RAX Finance @RaxFinance]

Tokenization is not just about putting assets on-chain.

The bigger opportunity is creating better financial infrastructure around them.

Better access.
Better transparency.
Better liquidity.

From treasuries to private credit to AI infrastructure, more productive assets are becoming digitally accessible.

[RAX Finance @RaxFinance]

Traditional markets price what exists today.

Prediction markets price expectations about tomorrow.

They transform uncertainty into measurable probabilities.

Instead of asking:

"What do you think will happen?"

They ask:

"What is the probability that it happens?"

As AI infrastructure evolves, forecasting demand may become as important as tracking current supply.

[RAX Finance @RaxFinance]

Financial markets have evolved alongside every major industrial shift.

From commodities.
To energy.
To digital assets.

The AI economy introduces a new category:

Computational infrastructure.

At Rax Finance, we're exploring how markets can better understand, measure, and interact with the infrastructure powering the AI era.

The future of finance will not only value assets.

It will value future possibilities.

[RAX Finance @RaxFinance]

Every market starts with a question.

Will AI compute demand continue to grow?

Will GPU prices rise?

Will data center capacity keep expanding?

Prediction markets turn uncertainty into something measurable.

As AI infrastructure becomes an investable asset class, understanding probabilities may become just as important as understanding prices.

That's a future we're paying close attention to at Rax Finance.