io.net Re-poster
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io.net Re-poster
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The intelligent stack for powering AI workloads | https://t.co/hIYFLxle8l: decentralized GPUs | io.intelligence: inference & agents | https://t.co/EinR91I0wl
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The GPU shortage isn’t really a shortage.
It’s a queue.
And the biggest buyers already skipped it.
Everyone else gets the leftovers, a markup and a long lease.
Good thing there’s a shorter line. Compute that’s already built, already running, and priced for the people who actually build.
http://io.net. AI for the many, not the few.
https://io.net/blog/the-ai-oligopoly-four-companies-control-90-of-global-gpu-comput
The GPU shortage isn’t really a shortage.
It’s a queue.
And the biggest buyers already skipped it.
Everyone else gets the leftovers, a markup and a long lease.
Good thing there’s a shorter line. Compute that’s already built, already running, and priced for the people who actually build.
http://io.net. AI for the many, not the few.
https://io.net/blog/the-ai-oligopoly-four-companies-control-90-of-global-gpu-comput
It’s a queue.
And the biggest buyers already skipped it.
Everyone else gets the leftovers, a markup and a long lease.
Good thing there’s a shorter line. Compute that’s already built, already running, and priced for the people who actually build.
http://io.net. AI for the many, not the few.
https://io.net/blog/the-ai-oligopoly-four-companies-control-90-of-global-gpu-comput
92
See translation
A few companies control the most powerful AI.
Now they're debating whether it has feelings.
But this is just a way to shift accountability onto the models.
“It’s not us, it’s the AI.”
That’s what concentrated control looks like. A few firms build it, run it, and decide who answers for it.
Open access means more people can build, inspect, and hold it accountable.
That’s why we built http://io.net.
A few companies control the most powerful AI.
Now they're debating whether it has feelings.
But this is just a way to shift accountability onto the models.
“It’s not us, it’s the AI.”
That’s what concentrated control looks like. A few firms build it, run it, and decide who answers for it.
Open access means more people can build, inspect, and hold it accountable.
That’s why we built http://io.net.
Now they're debating whether it has feelings.
But this is just a way to shift accountability onto the models.
“It’s not us, it’s the AI.”
That’s what concentrated control looks like. A few firms build it, run it, and decide who answers for it.
Open access means more people can build, inspect, and hold it accountable.
That’s why we built http://io.net.
82
See translation
Gartner expects over 80% of neoclouds to cease independent operations by 2030.
The AI data centre build-out needs $8.5T in revenue to cover costs and returns.
Gartner predicts $3.6T at most.
When the math doesn’t work, the builders relying on that infrastructure are the ones left on shaky ground.
http://io.net is different.
We orchestrate supply that already exists. We don’t bet on demand that hasn’t arrived.
Gartner expects over 80% of neoclouds to cease independent operations by 2030.
The AI data centre build-out needs $8.5T in revenue to cover costs and returns.
Gartner predicts $3.6T at most.
When the math doesn’t work, the builders relying on that infrastructure are the ones left on shaky ground.
http://io.net is different.
We orchestrate supply that already exists. We don’t bet on demand that hasn’t arrived.
The AI data centre build-out needs $8.5T in revenue to cover costs and returns.
Gartner predicts $3.6T at most.
When the math doesn’t work, the builders relying on that infrastructure are the ones left on shaky ground.
http://io.net is different.
We orchestrate supply that already exists. We don’t bet on demand that hasn’t arrived.
65
See translation
The big AI question isn’t which model you can use.
It’s whether you can get the compute to build at all.
Trillions of dollars of data centers are in the pipeline. But they’re built mostly for buyers who sign 3-year commitments.
If you’re a researcher who needs 8 GPUs for three weeks, a startup validating a product, or a company without massive budgets, you’re locked out.
More capacity under the same access model just means the same gap, only bigger.
http://io.net is here to fix the access model, not just the supply.
The big AI question isn’t which model you can use.
It’s whether you can get the compute to build at all.
Trillions of dollars of data centers are in the pipeline. But they’re built mostly for buyers who sign 3-year commitments.
If you’re a researcher who needs 8 GPUs for three weeks, a startup validating a product, or a company without massive budgets, you’re locked out.
More capacity under the same access model just means the same gap, only bigger.
http://io.net is here to fix the access model, not just the supply.
It’s whether you can get the compute to build at all.
Trillions of dollars of data centers are in the pipeline. But they’re built mostly for buyers who sign 3-year commitments.
If you’re a researcher who needs 8 GPUs for three weeks, a startup validating a product, or a company without massive budgets, you’re locked out.
More capacity under the same access model just means the same gap, only bigger.
http://io.net is here to fix the access model, not just the supply.
64
See translation
AI is pushing prices up.
Everyone’s paying for the build-out, from power to electronics.
Meanwhile, access to the compute itself stays locked behind long, expensive contracts.
A few tech giants collect the upside while the rest of us get the invoice.
You don’t have to use AI to pay for it. But you need a big budget to build with it.
That’s what http://io.net is working to change.
AI is pushing prices up.
Everyone’s paying for the build-out, from power to electronics.
Meanwhile, access to the compute itself stays locked behind long, expensive contracts.
A few tech giants collect the upside while the rest of us get the invoice.
You don’t have to use AI to pay for it. But you need a big budget to build with it.
That’s what http://io.net is working to change.
Everyone’s paying for the build-out, from power to electronics.
Meanwhile, access to the compute itself stays locked behind long, expensive contracts.
A few tech giants collect the upside while the rest of us get the invoice.
You don’t have to use AI to pay for it. But you need a big budget to build with it.
That’s what http://io.net is working to change.
61
See translation
Europe doesn’t just have a chip problem.
It also has a power problem.
@ionet's David Watts is in Vienna today at Data Center World Europe making the case for right-sized AI infrastructure.
Send the work to where the energy is and let software do the routing.
Catch him at 2:50pm in Schubert 6.
Europe doesn’t just have a chip problem.
It also has a power problem.
@ionet's David Watts is in Vienna today at Data Center World Europe making the case for right-sized AI infrastructure.
Send the work to where the energy is and let software do the routing.
Catch him at 2:50pm in Schubert 6.
It also has a power problem.
@ionet's David Watts is in Vienna today at Data Center World Europe making the case for right-sized AI infrastructure.
Send the work to where the energy is and let software do the routing.
Catch him at 2:50pm in Schubert 6.
72
See translation
Microsoft’s president says "AI is less regulated than milk."
He’s right.
But rules written by the companies building the problem will never fix it. They just protect the people at the top.
Safe AI comes from more access, more participation, and more voices at the table.
That’s why @ionet is building AI for the many, not the few.
Microsoft’s president says "AI is less regulated than milk."
He’s right.
But rules written by the companies building the problem will never fix it. They just protect the people at the top.
Safe AI comes from more access, more participation, and more voices at the table.
That’s why @ionet is building AI for the many, not the few.
He’s right.
But rules written by the companies building the problem will never fix it. They just protect the people at the top.
Safe AI comes from more access, more participation, and more voices at the table.
That’s why @ionet is building AI for the many, not the few.
88
See translation
Everyone’s racing to build the next gigawatt campus.
But the grid wait can be 5-10 years.
It doesn’t apply to GPUs that are already built, already powered, already permitted.
And right now, a lot of them are sitting idle.
You don’t need a new campus. You need the capacity that’s already plugged in.
Skip the queue. Run on what exists with @ionet.
https://io.net/blog/the-physical-limits-of-the-data-center-build-out
Everyone’s racing to build the next gigawatt campus.
But the grid wait can be 5-10 years.
It doesn’t apply to GPUs that are already built, already powered, already permitted.
And right now, a lot of them are sitting idle.
You don’t need a new campus. You need the capacity that’s already plugged in.
Skip the queue. Run on what exists with @ionet.
https://io.net/blog/the-physical-limits-of-the-data-center-build-out
But the grid wait can be 5-10 years.
It doesn’t apply to GPUs that are already built, already powered, already permitted.
And right now, a lot of them are sitting idle.
You don’t need a new campus. You need the capacity that’s already plugged in.
Skip the queue. Run on what exists with @ionet.
https://io.net/blog/the-physical-limits-of-the-data-center-build-out
87
See translation
$20 billion.
That's how much less revenue OpenAI now expects this year.
Nasdaq fell and Nvidia dropped.
One forecast, and the market flinched. That's what happens when everything rides on a few closed models.
Open models on open compute don't need a trillion-dollar valuation to work.
That's what @ionet was built for.
https://www.theguardian.com/technology/2026/oct/09/openai-forecast-revenue-gap
$20 billion.
That's how much less revenue OpenAI now expects this year.
Nasdaq fell and Nvidia dropped.
One forecast, and the market flinched. That's what happens when everything rides on a few closed models.
Open models on open compute don't need a trillion-dollar valuation to work.
That's what @ionet was built for.
https://www.theguardian.com/technology/2026/oct/09/openai-forecast-revenue-gap
That's how much less revenue OpenAI now expects this year.
Nasdaq fell and Nvidia dropped.
One forecast, and the market flinched. That's what happens when everything rides on a few closed models.
Open models on open compute don't need a trillion-dollar valuation to work.
That's what @ionet was built for.
https://www.theguardian.com/technology/2026/oct/09/openai-forecast-revenue-gap
83
See translation
Somewhere, a GPU is sitting idle.
Somewhere else, a startup is stuck on a waitlist.
The race to build more data centres gets the headlines. Making better use of the compute we already have deserves more attention.
@ionet connects the two.
Your runway should fund your product, not your place in the queue.
https://io.net/blog/solving-the-ai-compute-crisis-why-decentralization-is-the-only-way
Somewhere, a GPU is sitting idle.
Somewhere else, a startup is stuck on a waitlist.
The race to build more data centres gets the headlines. Making better use of the compute we already have deserves more attention.
@ionet connects the two.
Your runway should fund your product, not your place in the queue.
https://io.net/blog/solving-the-ai-compute-crisis-why-decentralization-is-the-only-way
Somewhere else, a startup is stuck on a waitlist.
The race to build more data centres gets the headlines. Making better use of the compute we already have deserves more attention.
@ionet connects the two.
Your runway should fund your product, not your place in the queue.
https://io.net/blog/solving-the-ai-compute-crisis-why-decentralization-is-the-only-way
60
See translation
An idle GPU costs the same to run as a busy one.
So we don't leave them idle.
Rent a cluster for 10 hours. When you're done, the same GPUs move straight into LLM inference.
TechArena sat down with @ionet's Ilkhom Sidikov - @ilkh0m - to break down how it works.
An idle GPU costs the same to run as a busy one.
So we don't leave them idle.
Rent a cluster for 10 hours. When you're done, the same GPUs move straight into LLM inference.
TechArena sat down with @ionet's Ilkhom Sidikov - @ilkh0m - to break down how it works.
So we don't leave them idle.
Rent a cluster for 10 hours. When you're done, the same GPUs move straight into LLM inference.
TechArena sat down with @ionet's Ilkhom Sidikov - @ilkh0m - to break down how it works.
73
See translation
The US has 56GW of data centre capacity.
China has 24GW, with 50GW more in the pipeline.
Most new AI compute is being built in two places.
For everyone else, the question isn't what to build. It's whether you can get the compute.
That's what http://io.net is solving.
The US has 56GW of data centre capacity.
China has 24GW, with 50GW more in the pipeline.
Most new AI compute is being built in two places.
For everyone else, the question isn't what to build. It's whether you can get the compute.
That's what http://io.net is solving.
China has 24GW, with 50GW more in the pipeline.
Most new AI compute is being built in two places.
For everyone else, the question isn't what to build. It's whether you can get the compute.
That's what http://io.net is solving.
174
See translation
Over 20B tokens processed on OpenRouter in a single day.
In July, we were serving around 3B a day.
Same machines. More output.
This is what optimisation and a better tech stack look like.
Built on https://io.net.
Over 20B tokens processed on OpenRouter in a single day.
In July, we were serving around 3B a day.
Same machines. More output.
This is what optimisation and a better tech stack look like.
Built on https://io.net.
In July, we were serving around 3B a day.
Same machines. More output.
This is what optimisation and a better tech stack look like.
Built on https://io.net.
1
82
See translation
Token prices are down ~70% this year.
But bills keep climbing anyway.
The infrastructure behind each model call is a budget decision, not a technical detail.
The fix?
Route work to the right model, choose who runs it, and get more control over costs.
@ionet and @OpenRouter make it possible. Bring your own key, keep your setup.
AI for everyone, not just the biggest budgets.
https://www.forbes.com/sites/rashishrivastava/2026/10/06/ai-costs-too-much-the-reckoning-is-here/
Token prices are down ~70% this year.
But bills keep climbing anyway.
The infrastructure behind each model call is a budget decision, not a technical detail.
The fix?
Route work to the right model, choose who runs it, and get more control over costs.
@ionet and @OpenRouter make it possible. Bring your own key, keep your setup.
AI for everyone, not just the biggest budgets.
https://www.forbes.com/sites/rashishrivastava/2026/10/06/ai-costs-too-much-the-reckoning-is-here/
But bills keep climbing anyway.
The infrastructure behind each model call is a budget decision, not a technical detail.
The fix?
Route work to the right model, choose who runs it, and get more control over costs.
@ionet and @OpenRouter make it possible. Bring your own key, keep your setup.
AI for everyone, not just the biggest budgets.
https://www.forbes.com/sites/rashishrivastava/2026/10/06/ai-costs-too-much-the-reckoning-is-here/
77
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Altman says the world should accept some bad things for the benefits of AI.
Here's another idea.
We wouldn't have to accept them if a few labs and three clouds weren't the only ones running it.
Open compute means fewer trade-offs.
That's what http://io.net is here for.
Altman says the world should accept some bad things for the benefits of AI.
Here's another idea.
We wouldn't have to accept them if a few labs and three clouds weren't the only ones running it.
Open compute means fewer trade-offs.
That's what http://io.net is here for.
Here's another idea.
We wouldn't have to accept them if a few labs and three clouds weren't the only ones running it.
Open compute means fewer trade-offs.
That's what http://io.net is here for.
83
See translation
You have the budget for compute.
But you might still not get the GPUs.
When fleets back billion-dollar loans, lenders favor long contracts over startups paying by the hour.
The financing can decide who gets the chips.
And builders go to the back of the line.
Not with http://io.net.
You have the budget for compute.
But you might still not get the GPUs.
When fleets back billion-dollar loans, lenders favor long contracts over startups paying by the hour.
The financing can decide who gets the chips.
And builders go to the back of the line.
Not with http://io.net.
But you might still not get the GPUs.
When fleets back billion-dollar loans, lenders favor long contracts over startups paying by the hour.
The financing can decide who gets the chips.
And builders go to the back of the line.
Not with http://io.net.
2
91
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34M+ compute hours delivered.
Up from 33M in July.
No new data center required. Just GPUs that already existed, put to work.
@ionet lets you use what's built. And pay a fraction of hyperscaler prices while doing it.
34M+ compute hours delivered.
Up from 33M in July.
No new data center required. Just GPUs that already existed, put to work.
@ionet lets you use what's built. And pay a fraction of hyperscaler prices while doing it.
Up from 33M in July.
No new data center required. Just GPUs that already existed, put to work.
@ionet lets you use what's built. And pay a fraction of hyperscaler prices while doing it.
7
See translation
62% of Americans back a pause on new AI data centers.
AWS's answer: a 3,000-word blog post.
The better answer: stop pouring concrete.
Millions of GPUs already exist. Many sit idle.
Use what's built before building more.
That's https://io.net.
62% of Americans back a pause on new AI data centers.
AWS's answer: a 3,000-word blog post.
The better answer: stop pouring concrete.
Millions of GPUs already exist. Many sit idle.
Use what's built before building more.
That's https://io.net.
AWS's answer: a 3,000-word blog post.
The better answer: stop pouring concrete.
Millions of GPUs already exist. Many sit idle.
Use what's built before building more.
That's https://io.net.
196
See translation
Your agent writes the code.
Then it tests it, picks a GPU, deploys the container, pays for it, and shuts it down.
Nobody had to file a ticket or get woken up at 2am.
That's what infrastructure built for agents looks like.
@ionet Agent Cloud.
https://io.net/blog/why-ai-agents-need-autonomous-compute-infrastructure
Your agent writes the code.
Then it tests it, picks a GPU, deploys the container, pays for it, and shuts it down.
Nobody had to file a ticket or get woken up at 2am.
That's what infrastructure built for agents looks like.
@ionet Agent Cloud.
https://io.net/blog/why-ai-agents-need-autonomous-compute-infrastructure
Then it tests it, picks a GPU, deploys the container, pays for it, and shuts it down.
Nobody had to file a ticket or get woken up at 2am.
That's what infrastructure built for agents looks like.
@ionet Agent Cloud.
https://io.net/blog/why-ai-agents-need-autonomous-compute-infrastructure
1
71
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Only 13% of companies are on track with their AI initiatives.
Nearly three-quarters see positive returns.
But fewer than a third get past the pilot.
Pilots are cheap. Production is where the compute bill shows up.
That's the gap https://io.net is built for.
Only 13% of companies are on track with their AI initiatives.
Nearly three-quarters see positive returns.
But fewer than a third get past the pilot.
Pilots are cheap. Production is where the compute bill shows up.
That's the gap https://io.net is built for.
Nearly three-quarters see positive returns.
But fewer than a third get past the pilot.
Pilots are cheap. Production is where the compute bill shows up.
That's the gap https://io.net is built for.
68
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