io.net
@ionet
The intelligent stack for powering AI workloads | decentralized GPUs | io.intelligence: inference & agents |
174 Following 438.4K Followers
It's 2 AM and you need 8 H100s for a sweep.
@awscloud: quota check → capacity check → maybe a 3-10 day wait.
@ionet scheduler match in 28 seconds. Training running in under 4 minutes. No quota tickets or waiting on someone else's reservation.
Just live bids, matched instantly, so you can keep building
Show more
A 5% government stake in the world's most valuable AI lab isn't oversight. It's ownership.
Concentrated compute was already a bottleneck. Now it's a jurisdiction.
When access to frontier AI depends on one company's relationship with one government, you don't have infrastructure.
You have a permission slip.
Builders deserve better. @ionet is here to make sure it happens.
Show more
It's Independence Day... for agents.
Stripe + x402 support on Agent Cloud lets your agents pay for their own compute. Autonomously. On-chain. In real time.
No human in the loop.
Only on
Show more
116,118 $IO burned today.
Total burned: 784,451.
Not a buyback, or a promise. Real enterprise revenue converting into real deflation, automatically, on-chain.
The IDE doesn't need a narrative.
Utility does the talking.
Show more
Now live: OpenRouter BYOK x
Plug your account into OpenRouter's unified API. Same SDK. Zero code changes.
- Your account, your rate, your quotas
- Billing isolated to your balance
- Fully transparent
- Prioritized routing to with fallback control
- Free monthly allowance. 5% BYOK fee after.
No hyperscaler markup. No black-box billing.
Just decentralized GPU compute, routed your way.
Show more
Running 32 A100s on AWS costs ~$770K/year on-demand.
And that's before hidden costs like networking, storage, and idle time push it 40–60% higher.
@ionet changes the equation.
AI compute made affordable and accessible:
Show more
OpenAI just built its own chip.
@Google has TPUs. @awscloud has Trainium. Now @OpenAI has Jalapeño.
Tech giants controlling every part of AI is not the solution to the compute crisis.
That's what @ionet is here for.
Open, distributed GPU infrastructure. No proprietary silicon. No closed ecosystem.
Any model, any team, any workload.
Open compute. Affordable. Accessible. That's how AI scales.
Show more
Real infrastructure.
Real utility.
The results speak for themselves.
#DePIN# Leaders Just Dropped $43.74M in 30D Revenue
($12.35M) & #Helium# ($12.20M) dominating as real-world infrastructure turns into real cash on-chain. Decentralized compute, networks & geospatial the #tokenization# of physical assets is here.
This is the backbone of #Web3#.
Show more
At least 12 million $IO burned in year one alone.
Real usage. Real scarcity. Real infrastructure.
The Incentive Dynamic Engine.
Watch the explainer.
Fixed emissions were always DePIN's flaw.
Token price drops. Suppliers go offline. Capacity shrinks. Downward spiral.
The IDE is a new way forward. @TheBlockCo breaks it down.
Revenue-linked payouts. Burns when there's surplus. Infrastructure that stays online regardless of market conditions.
Show more
A big thanks to @ionet for commissioning this report. 🤝
Full article:
If you enjoyed this thread, consider subscribing to our free daily newsletter for more insights delivered straight to your inbox:
Show more
Centralized clouds charge you up to 70% more than you need to pay for GPU compute.
Not because their chips cost more. Because you're also paying for their electricity, cooling headaches, software bundles, and egress fees.
We broke down every option for GPU compute with the actual numbers.
Full guide:
Show more
The future of AI depends on who controls compute.
@ionet CEO @Gaurav_ionet is joining leaders from @nosana_ai, @akashnet_, and @AethirCloud for a live panel on one of the biggest questions in AI infrastructure right now.
They'll tackle centralized vs decentralized compute, and what it means for builders, startups, enterprises, and autonomous agents.
GPU costs are rising, access is tightening, and the stakes couldn't be higher.
Sign up below 👇
Show more
It sounds like the beginning of a joke.
Gandalf and the Pope walk into an AI conference...
Except it isn't a joke.
The concentration of power among AI companies has become such a threat that even the Pope felt he needed to comment on it.
And use a quote from Lord of the Rings to do it.
But the problem isn't AI. It's that too few people control it.
AI needs to move beyond @OpenAI , @AnthropicAI , @Google, and the like to become a force for the many, not the few.
How do we get there? Affordable compute. Instant access. Open-source models.
That's @ionet
Show more
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.
Show more
