The future of AI compute doesn't run on hype.
It runs on real utility, real burns, and a network that gets stronger every time it's used.
The Incentive Dynamic Engine (IDE) is now live!
https://t.co/ggOg5dBdZw
It's Saturday.
You should be relaxing.
But if you're using a hyperscaler, your training jobs are sitting in a queue. And your cloud bill is 4x what it should be.
So we decided to make your weekend a little better.
Here's a vendor-neutral blueprint with real price-performance numbers across four reference architectures. And a month-by-month rollout plan from pilot to production.
Hyperscalers are looking out for their profits. @ionet is looking out for your weekend.
https://t.co/MfnSsFqGfg
1/ The biggest inefficiency in crypto isn’t yield.
It’s $100B+ of institutional capital sitting idle because the path to earning yield often breaks custody requirements.
tea is live.
Mainnet is live.
$TEA is now available across Aerodrome, KuCoin, Gate, and MEXC.
This is where years of building move into market.
The open-source L2 is live.
The economic layer for open-source software is live.
The Tea Party has begun.
1/ For years, qualified custody meant idle capital.
Today, that changes.
We're partnering with @BitGo to build a custody-native vault platform; institutional assets staying in regulated custody while running strategies through Concrete's vault architecture.
1/ Institutions want blockchain rails without blockchain chaos.
BlackRock is expanding tokenized Treasuries. Private credit RWAs are crossing record numbers.
The signal is obvious: capital wants programmability and settlement efficiency, not unmanaged DeFi risk.
Over $100,000.
That's the extra cost of running 10 GPUs on @googlecloud every year vs @ionet.
There are also the quota approvals, regional shortages, egress fees, and TPU lock-in.
Or you can deploy in 2 minutes, skip the bureaucracy, keep the savings.
The choice is easy. Here's the full breakdown:
https://t.co/clfUpOmvat
2.9 billion reasons decentralized compute works.
@ionet just passed 2.9 billion tokens processed daily on @OpenRouter.
DePIN isn't a narrative. It's the solution to AI's biggest problems: access, affordability, and flexibility.
We're leading the way.
https://t.co/gdQtlLEGcE
It's only May, and @Uber has already burned through its entire AI budget for the year.
With costs as high as $2,000 per engineer per month, it's easy to understand why.
And they aren't alone.
Less than 1% of executives report 20%+ ROI from AI.
Overpriced infrastructure, soaring token usage, and runaway costs make AI almost unaffordable, even for the largest companies.
But you don't need an enterprise budget to build with AI. You need affordable compute and leading open-source models.
That's exactly what @ionet delivers.
https://t.co/jXBXcW3XQa