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The intelligent stack for powering AI workloads | io.cloud: decentralized GPUs | io.intelligence: inference & agents | t.me/io_net
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Startups are burning runway waiting for compute.
Meanwhile, GPUs sit underused.
There’s a solution.
Connect that capacity to the builders who need it, at prices they can afford.
At @ionet, we want your next funding round to pay for progress. Not for coffee while you wait on a GPU.
io.net/blog/solving-t…
Meanwhile, GPUs sit underused.
There’s a solution.
Connect that capacity to the builders who need it, at prices they can afford.
At @ionet, we want your next funding round to pay for progress. Not for coffee while you wait on a GPU.
io.net/blog/solving-t…
Enough electricity to power roughly 300 million homes for a year.
That’s the 945 TWh data centres are projected to consume annually by 2030.
No wonder the pushback against the buildout keeps growing.
But the GPUs that already exist have been built, powered, and connected. @ionet puts the underused ones to work so there’s less need to build new capacity first.
That’s how you make AI for the many, not the few.
forbes.com/advisor/busine…
That’s the 945 TWh data centres are projected to consume annually by 2030.
No wonder the pushback against the buildout keeps growing.
But the GPUs that already exist have been built, powered, and connected. @ionet puts the underused ones to work so there’s less need to build new capacity first.
That’s how you make AI for the many, not the few.
forbes.com/advisor/busine…
$2.5 trillion wiped off tech stocks in one day.
Set off by one country’s election.
That’s the danger of concentrated infrastructure. When AI compute is built in a few places, one country’s politics can decide everyone’s access.
There’s a better way.
Open compute, distributed across regions, and built from the hardware that already exists. That’s io.net.
Set off by one country’s election.
That’s the danger of concentrated infrastructure. When AI compute is built in a few places, one country’s politics can decide everyone’s access.
There’s a better way.
Open compute, distributed across regions, and built from the hardware that already exists. That’s io.net.
32 countries host specialised AI data centres.
US and Chinese firms run 90%+ of them.
Whole nations are queuing alongside startups, renting compute on someone else’s terms.
@ionet's AI and Financial Inclusion Strategist, David Sherman, breaks down who gets left out in @techradar.
Access should be for the many, not the few.
techradar.com/pro/the-uks-ai…
US and Chinese firms run 90%+ of them.
Whole nations are queuing alongside startups, renting compute on someone else’s terms.
@ionet's AI and Financial Inclusion Strategist, David Sherman, breaks down who gets left out in @techradar.
Access should be for the many, not the few.
techradar.com/pro/the-uks-ai…
