io.net

The intelligent stack for powering AI workloads | decentralized GPUs | io.intelligence: inference & agents |

[io.net @ionet]

AI infrastructure has been running in the dark.

Controlled by a handful of players, the industry has been held back by hidden pricing, secretive deals, and locked doors.

We built https://t.co/ZuybGWvRkH to change that.

Distributed compute. Transparent pricing. Open access. For everyone. Everywhere.

For over two years we have been working to bring light to the dark. Today with the launch of our new brand design, we are giving form to the idea.

The lights are on.

https://t.co/ZuybGWvRkH

[io.net @ionet]

If you are going to set high goals, why not go for world peace? If we want AI to benefit all of humanity, we need more voices, more builders, more perspectives, not giant corporations controlling the majority of the market. That's why decentralized compute and open-source models are so important.

[io.net @ionet]

https://t.co/j9T2mvLNjl

[io.net @ionet]

One A100 instance on AWS. Or a 4-8 node cluster on https://t.co/ZuybGWvjv9.

Same price.

That's what on-chain coordination of underutilized GPU supply actually makes possible.

No centralized control. No inflated margins. No single point of failure. Just distributed hardware, verified compute, and near-instant settlement on @solana.

This is what the future of AI compute looks like.

[io.net @ionet]

Perfect. If you want a future where 5 companies have all of the wealth and power... But, If you want a future where people around the world actually have a fair chance to participate in the AI economy, we should be looking elsewhere. Affordability and access are key. Distributed compute and open-source AI provide the foundation for a more open and innovative future.

[io.net @ionet]

https://t.co/GWUIBbdFeR

[io.net @ionet]

Only 5% of enterprise GPU capacity is being used.

This is Big Tech's playbook.

Buy GPUs for worst-case scenarios, leave them idle 95% of the time, price everyone else out.

The dev in Nairobi. The startup in São Paulo. Priced out to subsidize someone else's dormant hardware.

That's the problem https://t.co/ZuybGWvjv9 was built to solve.

Hear @ionet AI and Financial Inclusion Strategist break it down in TechRadar👇

[io.net @ionet]

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

[io.net @ionet]

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

[io.net @ionet]

https://t.co/GVuoRpnKkY

[io.net @ionet]

Fine-tuning a 13B model on AWS: $229

Fine-tuning a 13B model on @ionet: $6.71

Same results. 97% cheaper.

The difference? @awscloud has an 8-GPU node minimum. You only need 1. You pay for 7 that do nothing.

Affordable, accessible compute. On your terms, not theirs. That's what https://t.co/ZuybGWvjv9 was built for.

Full cost breakdown with every model size, every technique, actual numbers 👇

[io.net @ionet]

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

[io.net @ionet]

Live now:
@ionet CEO @Gaurav_ionet is speaking with leaders from @nosana_ai, @akashnet, and @AethirCloud about the biggest questions in AI infrastructure.

[Nosana @nosana_ai]

Centralized vs Decentralized Compute | GPU Industry Discussion https://t.co/YdZnpGXKwi

[io.net @ionet]

$1 Trillion.

It took @AnthropicAI 5 years to reach this valuation.

It took @Apple 42.

The amount of money being invested in AI today is unlike anything we've seen in the history of technology.

But access to the infrastructure powering that innovation is still concentrated in the hands of a few.

That's a challenge for the next generation of builders.

Real innovation doesn't come from a handful of companies alone. It comes from developers, startups, and teams with great ideas and the ability to bring them to life.

They need access to affordable compute and open-source models.

That's why @ionet exists.

https://t.co/ORG7qlqnJb

[io.net @ionet]

@business Maybe. But that's a very specific framing. The real job risk isn't AI in itself. it's infrastructure costs that make AI ROI impossible for 99% of businesses.

[io.net @ionet]

75% cheaper compute costs and a launch 3 months ahead of schedule.

It seems almost impossible for an AI startup.

Until you look beyond hyperscalers.

@wonderaofficial needed more than half a million GPU hours to train AI models for music generation, voice conversion, and audio separation.

Using traditional cloud infrastructure would have cost millions more and slowed development.

Instead, they reached:
- 200,000 users across 171 countries in 4 months
- 50% month-over-month growth
- $200K ARR

When compute becomes accessible, AI companies can focus on building.

That's exactly what Wondera did with @ionet

https://t.co/N1qL3tXv2j

[io.net @ionet]

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

[io.net @ionet]

20% of organizations capture 74% of the economic value generated by AI.

This isn't a talent problem.

It isn't an ideas problem.

It's a compute access problem.

GPUs are controlled by three companies. And those three companies set prices that lock out most of the world's builders.

Startups from developing markets can face tens of thousands in infrastructure costs in their first year alone.

That's an impossibly high break even point for most businesses.

https://t.co/ZuybGWvRkH changes that equation.

→ Thousands of GPUs across 138+ countries
→ Up to 70% cheaper than centralised providers
→ No enterprise contracts. No gatekeepers.

The 80% deserve access to the same infrastructure as the 20%.

@ionet CEO @Gaurav_ionet breaks it down in a recent interview with Innovate Finance:
https://t.co/oSjV2piZbU

[io.net @ionet]

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

[io.net @ionet]

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 👇

[Nosana @nosana_ai]

The question every AI builder is asking: centralized or decentralized compute?

We’re bringing together experts from @nosana_ai, @akashnet, @AethirCloud, and @ionet to dig into it live.

📆 June 2, 5PM CET

Register: https://t.co/qhmoTBIxkP

[io.net @ionet]

@Cointelegraph Or... he's just responding to CEOs getting booed on stage over AI, and nothing has changed. If you really want to stop AI from taking jobs, put it in the hands of the many, not the few.