We risk losing control of AI.
That was @AnthropicAI's warning yesterday, when they called for a global pause in AI development.
The truth is something very different.
"We" never had control. They did. From the beginning.
@OpenAI, @AnthropicAI, and @Google account for 89% of all AI revenue.
Centralized clouds and AI companies have hoarded GPUs, forced out competition, and set the agenda for what gets built, and who gets to build it.
But AI isn't the problem. Concentrated power is.
When compute is accessible and affordable, and models are open-source, everyone, everywhere can build.
That changes everything.
It's not technology engineered for corporate profits. It's technology built for people.
That's what @ionet is here for.
https://t.co/yJIA1KRh0H
@ionet@AnthropicAI@OpenAI@Google AI was never truly open when a few companies controlled the compute power.
Decentralized infrastructure changes that. Open access open innovation and opportunities for builders everywhere.
That’s the future @ionet is building.
Honoured to be named #16 on @TechRound's Most Innovative AI Companies list.
While hyperscalers were building walled gardens, we've been building what devs, startups, and growing projects actually need.
Affordable, accessible, and unstoppable AI compute.
Instant access to thousands of GPUs. Globally distributed in over 138 countries. Zero waitlists. 70% savings.
This is what the future of AI compute looks like.
https://t.co/fA4XutkN8k
2.9B tokens was the signal.
4B+ is the proof.
Decentralized compute is already powering AI at scale. https://t.co/RynqhK2fD5 x OpenRouter are proving it.
2.9 billion tokens a day on @OpenRouter was impressive.
Over 4 billion a day is validation.
For anyone wondering if decentralized compute can power the future of AI. Here's your answer.
https://t.co/gdQtlLEGcE
2.9 billion tokens a day on @OpenRouter was impressive.
Over 4 billion a day is validation.
For anyone wondering if decentralized compute can power the future of AI. Here's your answer.
https://t.co/gdQtlLEGcE
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: https://t.co/P8kaF8z20s
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 👇
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
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
It's the weekend.
But you're probably going to open your laptop anyway.
So, you might as well not burn $4K figuring out why your cluster is broken.
We put together the GPU deployment playbook that you'll actually want open mid-deploy.
From H100 vs A100 vs L40S, to networking, to costs, we've covered it all.
Check it out here:
https://t.co/gzNwvXubPC