io.net (@ionet) / X

io.net

9,189 posts

io.net

@ionet

The intelligent stack for powering AI workloads | io.cloud: decentralized GPUs | io.intelligence: inference & agents | t.me/io_net

Manhattan, New York

Joined May 2018

Pinned
io.net
@ionet
15h
The future of AI compute doesn't run on hype. It runs on real utility, real burns, and a network that gets stronger every time it's used. The Incentive Dynamic Engine (IDE) is now live! io.net/blog/a-new-tok…
00:00
1.6M
io.net
@ionet
4h
Big Tech committed $500B to AI infrastructure. Access still goes to the highest bidder. io.net built a different model. And the world is noticing. Today the IDE went live. $8M deal closed, 4B AI tokens daily, 12M $IO burned in year one. The on-chain data
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io.net
@ionet
10h
Tech giants built AI infrastructure for themselves. We built it for everyone. Three years. One belief. AI compute should be affordable and accessible for every builder, everywhere. Today, that belief has a new engine. The IDE is live. Real usage. Real scarcity. Real burns.
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io.net
@ionet
13h
The IDE is live. And @CoinDesk is covering it. Real utility. Real revenue. Real burns. This is what AI compute looks like when it's built on demand, not hope.
io.net to Burn Up to 12M Tokens as Network Closes $8M Deal and Hits 4 Billion Daily AI Tokens
From coindesk.com
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io.net
@ionet
Jun 10
Decentralized compute is good. More decentralized compute is even better. And we're making that happen as launch partner for Respan Gateway. @RespanAI gives devs access to decentralized GPU compute through a single gateway to train, run, and scale AI workloads. No
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io.net
@ionet
Jun 9
Replying to @ionet
io.net/blog/io-net-on…
3K
io.net
@ionet
Jun 9
One A100 instance on AWS. Or a 4-8 node cluster on io.net. 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,
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io.net
@ionet
Jun 8
Replying to @ionet
techradar.com/pro/why-95-per…
2.9K
io.net
@ionet
Jun 8
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.
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io.net
@ionet
Jun 6
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
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io.net
@ionet
Jun 5
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
Anthropic Urges Global Pause in AI Development, Flags ‘Self-Improvement’ Risk
From wsj.com
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io.net
@ionet
Jun 4
Replying to @ionet
io.net/blog/llm-fine-…
2.9K
io.net
@ionet
Jun 4
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
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